Date: 24 Jan 94 11:01:09-PST
From: Vision-List moderator Phil Kahn <Vision-List-Request@TELEOS.COM>
Errors-to: Vision-List-Errors@TELEOS.COM
Reply-to: Vision-List@TELEOS.COM
Subject: VISION-LIST digest 13.3
To: Vision-List@TELEOS.COM

VISION-LIST Digest    Mon Jan 24 11:01:09 PDT 94     Volume 13 : Issue 3

 - ***** The Vision List host is TELEOS.COM *****
 - Send submissions to Vision-List@TELEOS.COM
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Today's Topics:

 Looking for speaker on unstructured 3d image reconstruction
 Solving inverse diffusion problems
 scaling of 2-d binary images (response summary)
 Re: solving one system AX=XB
 Detecting anomalies in images of printed circuit boards
 CCITT G4 Compression: Where can I get info?
 Looking for Range Image Segmentation
 Interested in image processing
 Video digitizer
 Doctoral student sought
 Technical Report: Gesture  Recognition
 17th European Conference on Visual Perception
 ECCV-94: PROGRAM and REGISTRATION
 CFP: Australian Joint Conference on Artificial Intelligence (AI'94)
 PCS 94 reminder - summaries due February 1
 AI Genealogy [LONG]

------------------------------

Date: Wed, 19 Jan 94 20:35:21 -0600
From: dmeglan@merle.acns.nwu.edu (Dwight Meglan)
Subject: Looking for speaker on unstructured 3d image reconstruction

I am helping to organize a conference on human movement analysis. I've
been using motion analysis systems in this area for a number of years.
The most popular commercial systems all use some type of predefined markers
(though sometimes identification is done after the data is recorded) which
are tracked in several cameras and 3d position and orientation is computed
from this finite set of points.

Over the last several years I have been following (more like casually
watching :) the developments in machine vision of reconstructing 3d scenes
without the benefit of these predefined points. We would like to find a
suitable speaker to give a talk on this to introduce the area to
biomechanics researchers. 

I have looked over what articles I have and have found a large number of
authors. Unfortunately, we can only ask one person to speak. So, I would
like to solicit opinions from those on the VISION-LIST on who would be an
appropriate speaker for this topic. 

Thank you for your help, dwight

----------------------------------------------------------------------

Date: Fri, 21 Jan 94 21:58:49 EST
From: pbreuer@math.clemson.edu (Philip Breuer)
Subject: Solving inverse diffusion problems
Content-Length: 637
Status: R

I am looking for information regarding solving inverse diffusion problems.
I am having trouble locating any information or research on the matter.  Can 
you please help?  Any suggestions of articles, books, or authors would be
greatly appreciated.
This problem is similar to vision and recognition problems in ai.  It involves
taking a reading of some point sources that are weak and have suffered much
diffusion.  The goal is to use the duffuse image, make a resolution cut of the
image, and be able to somehow tell the location and intensities of the source
causing the reading.  


Thanks,

Philip J. Breuer
pbreuer@math.clemson.edu

------------------------------

Date: 18 Jan 1994 15:32:10 -0800
From: Pervez Mohta <pmohta@clyde.ICS.UCI.EDU>
Organization: UC Irvine, Department of ICS
Subject: scaling of 2-d binary images (response summary)

 In response to my query about scaling 2-d binary images, I have
 got one concrete suggestion so far from Dave (Thanks, Dave). Since I had
 indicated that I would summarize my responses, the article is included
 below. I still encourage people to send me replies at pmohta@ics.uci.edu.

 -- pervez.
    pmohta@ics.uci.edu

From: Dave Coombs <coombs@cme.nist.gov>

Look up image transformations in a vision or image processing book
(eg, Ballard and Brown, Duda and Hart, Levine, Horn...).  A good
example is to think about rotating an image.  The key is to ask what
neighborhood in the source image contains the information that best
determines the value of a pixel in the destination image, rather
than vice versa.  Constrained domains with limited feature types
allow algorithms that can do a better job by being a little clever
(eg, with sub-pixel interpolation).

best luck,
dave

------------------------------

Date: 20 Jan 1994 19:24:17 GMT
From: zot@bellman.math.kth.se (The flyin'saucepan)
Organization: /etc/organization
Subject: Re: solving one system AX=XB

>From: Chokri BENAMAR <Chokri.BENAMAR@lai1.univ-lyon1.fr>
>Subject: solving one system AX=XB
>
>I need to solve a system AX=XB where :
>A,B and X are three matrix of size (4,4).The unknown is X.
>I can have (A1,B1), (A2,B2) and eventually (A3,B3) wich verify the equation.
>Are there any codes (in C if possible) to find the unique solution X.  ?
>
>In fact, This problem of resolving the system AX=XB is derived from the
>problem of camera-to-robot calibration. In fact i have a camera mounted
>in the end hand of a robot and i search the position and the orientation
>of the camera with respect to robot wrist frame.

All I know is that equation is a particular case of what they call
"Diophantus Equations" or something like that (in Italian: Equazione Diofantea
 from the Greek mathematician Diofanto - Diophant in English ? )

The general case is AX+XB=C with A,B,C,X matrices of proper dimention (not 
 only square ). Solving the omogeneous form should be in some book of 
 advanced matrix computation. In general, something about them can be found,
 I think. However, what I thought as a possible solution is:

1) Write the equation like this:   
[ A I ] [ X 0 ] [ I] = 0
        [ 0 X ] [-B]

2) Calculate Ker([ A I ]) and put vectors in the matrix  [ A1 ] that is 8x4
							 [ A2 ] 

3) So there will be some 4x4 matrix Z such that:

 [ X 0 ] [ I] = [ A1 ] Z
 [ 0 X ] [-B]   [ A2 ]

4) Write that equation like this:

X = A1 Z  ; -B X = A2 Z

5)  Solve for Z the following

-B A1 Z = A2 Z

6)  Take X out of 4)

This is what I thought reading your stuff, I don't know if it works and of course 
 I didn't check that the matrix involved in the solution of 5) is invertible.

Just an innocent evening try.
				Paolo	
 
      The immigrant              %	         Paolo Zotti
	guy at KTH               %             zotti@math.kth.se
	from Padova              %         zot@veronica.dei.unipd.it
     "Hello!  I'm from the Department of Redundancy Department."

------------------------------

Date: Thu, 20 Jan 94 13:17:43 -0500
From: keck@uvm-gen.EMBA.UVM.EDU
Subject: Detecting anomalies in images of printed circuit boards

   I am looking at a project involved in detecting anomalies in complex
   patterns (i.e. images of printed circuit boards) and would be interested
   in hearing about any papers or other literature on this subject 
   (or persons involved in this area) that you may know of.

   Thanks,

   Karl Moody

------------------------------

Date: 19 Jan 94 04:39:29 GMT
From: gt7417a@prism.gatech.edu (HYCHE,MARTIN ERIC)
Organization: Georgia Institute of Technology
Subject: CCITT G4 Compression: Where can I get info?

I need to get information on CCITT Group 4 compression. Ideally, I'd
like a text file I can ftp off the net, but if someone knows of an
article or book which describes the compression algorithm, that would
be most helpful also.

I am working with some TIFF images and the TIFF documentation does not
describe the compression algorithm in sufficient detail.

Thank you very much!

Eric Hyche
gt7417a@prism.gatech.edu
 -or-
eric@eedsp.gatech.edu

------------------------------

Date: Fri, 21 Jan 94 12:19:47 EST
From: koh@cat.syr.edu (Jean Koh)
Subject: Looking for Range Image Segmentation

Hi!
I am looking for source codes for range image segmentation.
For example, A.K. Jain's work(MSU), Ramesh Jain's (UM), Nevatia (USC), etc.
I would like to use it to compare the performances of my work with
other people. Actually it's for the performance evaluation for my
Ph.D. thesis.

Or if you know something else in public domain like the implementations of
split-and-merge or simple intensity or range image segmentation algorithms,
please let me know how to get those.
Thanks in advance.

-Jean Koh
 Dept. of ECE
 Syracuse University
 koh@cat.syr.edu

------------------------------

Date: 20 Jan 94 10:33:43 CDT
Subject: Interested in image processing
From: fishy@vax2.winona.msus.edu
Organization: Winona State University

Hello,
Beginning this Spring quarter I will be doing research on digital image proc-
essing and pattern recognition.  The project I will be working on will exame
ppultruded fiber reinforced rods.  The program is to consist of an examination
of the rod end to check for fiber distribution as well as the presence of
voids.  In addition to this the program must also examine the surface of a
flat section of composite to determine the mean fiber lenght and direction in
which the fibers are orientated.  While I have done little reasearch in this
field, as of yet, I would greatly appreciate any advice, useful subroutines
(in C or FORTRAN), or any references to useful books or articles.

Thank you,
fishy@vax2.winona.msus.edu
Brett Weishalla
fishy@vax2.winona.msus.edu
Composite Materials Engineering
Winona State University

------------------------------

Date: Thu, 20 Jan 1994 15:47:33 GMT
From: gil@cui.unige.ch (GIL Sylvia)
Organization: Geneva University, Switzerland
Subject: Video digitizer

Hi everyone,

I would be interested in digitizing image sequences acquired with
a video device (U-matic, VHS or HVHS). I am interested in grabbing
each image separately, that is (in Europe) 25 images/second. 
The equipment available in our laboratory is the following:
	- 486 PC with a Magic Matrox card;
	- One-inch Video Tape;
	- VHS and U-matic video recorder;
	- Live Video Digitizer.
Our main problem is to obtain still images, stabilized enough
to allow digitization. We can do it, but only with a fairly
complex an expensive equipment that we have to borrow each
time; also, it take ages to do it.

We are looking for some cheaper and simpler device, even if
the quality is somehow degraded. Do you have such equipment? 
Could you please describe it and tell me how easy/difficul 
it is to use it?

Thanks in advance.

	Sylvia Gil

------------------------------

Date: Mon, 17 Jan 94 13:16:41 -0700
From: sobh@wingate.cs.utah.edu (Tarek Sobh)
Subject: Doctoral student sought

			UNIVERSITY OF UTAH
 		   COMPUTER SCIENCE DEPARTMENT

 		  AASERT Award Graduate Student


Applications are solicited from outstanding prospective doctoral 
students in the area of:

		      DISCRETE EVENT SYSTEMS

One student will be selected for financial support under the
ARPA Research Augmentation Awards for Science and Engineering Research 
Training (AASERT) program.

The AASERT Award provides a yearly (12 month) stipend of \$15,000, 
plus tuition and fees. Awards will be made for one year of support, 
with possible extension for two more years based on progress made
in the first year.

Students supported by the AASERT program must be U.S. citizens or 
nationals of the United States.

Specially encouraged to apply are members of groups underrepresented 
among U.S. citizens holding advanced degrees in science and engineering, 
including ethnic minorities, women, and persons with disabilities.

The research area targeted is Discrete Event Systems (DES).
The research fellow will develop new strategies and carry out 
implementations involving DES modeling for systems within one or more of
the following domains: Sensing for Advanced Manufacturing, Vision-based 
Robotics, Autonomous Agent Modeling, Control Theory, Assembly and Planning,
Concurrency Control, Hierarchical Control, Autonomous Observation Under 
Uncertainty, Multimedia, and Real-Time Operating Systems.

The starting date is flexible, but we'd like to fill the position as soon 
as possible.


How to apply:

Preliminary applications should be directed to (inquiries should refer to the
AASERT award in DES):


	Tarek Sobh or Tom Henderson
        Computer Science Department - 3190 MEB
        University of Utah
        
        sobh@cs.utah.edu or tch@cs.utah.edu

The preliminary application should consist of:
 -- A statement of purpose, including research goals.
 -- C.V. of the student.
 -- Transcripts from undergraduate and graduate schools, and GRE subject 
    and general scores (if available).

------------------------------

Date: Mon, 17 Jan 1994 20:18:01 -0500
From: James Davis  <jdavis@cs.ucf.edu>
Subject: Technical Report: Gesture  Recognition

The following Technical Report is available via anonymous ftp from
eustis.cs.ucf.edu (132.170.108.42). The report is in 
/pub/tech_paper/gesture.ps.Z.


		     Gesture  Recognition
		 James Davis and Mubarak Shah
 
		  Computer Vision Laboratory
		  Computer Science Department
		 University of Central Florida
		      Orlando, FL 32816
               

Abstract
This paper presents a method for recognizing human-hand  gestures  using
a model-based approach.    A  finite   state    machine  is  used  to model
four qualitatively distinct phases of a  generic  gesture.  Fingertips  are
tracked in  multiple    frames    to    compute  motion  trajectories.  The
trajectories are then used for finding the start and stop position  of  the
gesture.   Gestures  are  represented  as  a  list  of vectors and are then
matched to stored gesture vector models using table lookup based on  vector
displacements.     Results  are  presented  showing  recognition  of  seven
gestures using images sampled at 4Hz on a  SPARC-1  without  any    special
hardware.  The  seven  gestures   are  representatives    for   actions  of
Left, Right, Up, Down, Grab, Rotate, and Stop.

(A short  version  of  this  work will appear in  ECCV-94  and a long
version in the journal: Vision,  Image and Signal Processing.)

------------------------------

Date:         Mon, 24 Jan 94 09:48:33 EST
From: CVNET%YORKVM1@vm.utcc.utoronto.ca
Subject: CVNet- 17th ECVP

ANNOUNCEMENT and CALL FOR PAPERS

17th European Conference on Visual Perception

Eindhoven, The Netherlands, 4-8 September 1994

Topics: early visual processing, high-level vision, applied psychophysics,
 development and aging, spatial vision, brightness and lightness, colour
 perception, perception of motion, electrophysiology and clinical research,
 attention, visual search and eye movements, shape, texture and depth, and
 learning and memory. As a special topic a mini symposium on the perception of
 complex images will be held. It deals with visual information problems that
 need to be solved for a proper interpretation and display of the complex images
 that occur in today's world. This is relevant for applications such as
 robotics, and
for the optimization of the quality of pictures on TV, video, computer graphics
 and alpha-numerical display stations.

Communications are invited from all branches of visual science, and are not
 restricted to the above-mentioned topics. They should present original,
 unpublished and substantive research and must be submitted in triplicate by 28
 February 1994. Abstracts should not exceed 300 words, and should have a short
 header giving the title, the authors' name(s) and address.

Accommodation will be avaiable in the `Koningshof' hotel and congress centre in
 Veldhoven, a suburb of Eindhoven. Participants will reside and hold their
 conference in the same building. Registration should be before 28 February
 1994. Participants should contact the conference bureau (tel.:
 +31-40-474849/474000; fax: +31-40-458195) quoting the reference "ECVP94".

Organizing committee: Jacques Roufs, Huib de Ridder, Frans Blommaert and
 Jean-Bernard Martens, Institute for Perception Research (IPO), P.O. Box 513,
 5600 MB Eindhoven, The Netherlands, Fax: +31-40-773876.

------------------------------

Date: Wed, 19 Jan 1994 09:43:04 +0100
From: Stefan.Carlsson@bion.kth.se
Subject: ECCV-94: PROGRAM and REGISTRATION

			ECCV - 94

		 THIRD EUROPEAN CONFERENCE 
		   ON COMPUTER VISION 

		2-6 May 1994, Stockholm, Sweden 

		PROGRAM  and  REGISTRATION FORM

	             GENERAL PRESENTATION 

The Third European Conference on Computer Vision is an international 
conference devoted to recent research in computer vision and it  will 
take place in Stockholm, Sweden 2 - 6 May 1994. The conference is 
followed by three workshops organized by members of the ESPRIT Basic 
Research Action on  Machine Vision on Sat. 7 May.

The conference is divided into 

	Oral Presentation Sessions 
	Poster Sessions 
	Open Sessions  (see below) 
	Industrial Exhibition 

In parallel to the poster sessions participants are invited to briefly 
present recent results not appearing in the official program. These 
presentations could be accompanied by short videos. Those interested 
can sign up for these open sessions during the conference. A separate 
room will be allocated. During the conference an Industrial Exhibition 
will take place. Companies interested in displaying their products are 
welcome to contact the Scientific Secretariat (address see below).

Conference Secretariat			Scientific Secretariat	

ECCV 94 				Professor Jan-Olof Eklundh 
c/o Stockholm Convention Bureau   	KTH, NADA 
Box 6911 				S-100 44 Stockholm, Sweden 
S-102 39 Stockholm, Sweden 		Telephone:	+ 46 8 790 81 61 
Telephone:	+46 8 736 15 00  	Telefax:	+ 46 8 723 03 02 
Telefax:	+46 8 34 84 41 		Email: eccv94@bion.kth.se 


		Conference Venue	

		City Conference Centre, Norra Latin 
		Drottninggatan 71 B 
		S-111 36 Stockholm, Sweden 
		Telephone:	+ 46 8 791 66 00 
		Telefax:	+ 46 8 723 09 23 


	               MONDAY  MAY 2

  18:00 - 20:00   Registration and Welcome Reception 

	               TUESDAY  MAY 3

  08:00     Registration 

  08:45 - 09:00    Welcome and Opening

  09:00 - 10:35  	  GEOMETRY AND SHAPE  I

  Evolutionary fronts for topology-independent shape modeling and 
  recovery  
  R. Malladi, J. Sethian, B. Vemuri  

  Epipolar fields on surfaces 
  P. Giblin, R. Weiss

  Stability and likelihood of views of three dimensional objects 
  D. Weinshall, M. Werman, N. Tishby

  Topological reconstruction of a smooth manifold-solid from its 
  occluding contour 
  L.R. Williams

  10:35 - 11:00   COFFEE BREAK

  11:00 - 12:30   OPTICAL FLOW AND MOTION FIELDS

  Optical flow estimation: advances and comparisons 
  M. Otte, H.-H. Nagel

  Multiple constraints for optical flow 
  M. Tistarelli

  Motion field of curves: applications 
  T. Papadopoulo, O. Faugeras

  Sufficient image structure for 3-D motion and shape estimation 
  S. Carlsson

  12:30 - 14:00     LUNCH


  14:00 - 15:40		  EXHIBITION  
			  OPEN SESSION   
			  COFFEE 15:00 

			  POSTER SESSION 1   
 IMAGE FEATURES

 A comparison between the standard Hough transform and the Mahalanobis 
 distance Hough transform
 C. Xu, S.A. Velastin

 Junction classification by multiple orientation detection
 M. Michaelis, G. Sommer

 Following corners on curves and surfaces in scale space
 B. Vasselle, G. Giraudon, M. Berthod

 Scale-space properties of quadratic edge detectors
 P. Kube, P. Perona


 MOTION AND FLOW

 A scalar function formulation for optical flow
 A. Amini

 First order optic flow from log-polar sampled images
 H. Tunley, D. Young

 Recursive non linear estimation of discontinous flow fields
 M.  Black

 The use of optical flow for the autonomous navigation
 A. Giachetti, M. Campani, V. Torre	

 An image motion estimation technique based on a combined statistical 
 test and spatiotemporal generalized likelihood ratio approach
 F. Germain, T. Skordas


 MOTION SEGMENTATION AND TRACKING

 Independent motion segmentation and collision prediction for road 
 vehicles
 D. Sinclair, B. Boufama

 An MRF based motion detection algorithm implemented on analog 
 resistive network
 F. Luthon, G.V. Popescu, A. Caplier

  	Occlusion ambiguities in motion
 D. Geiger, K. Diamantaras

 A robust tracking of 3D motion
 P. Nesi, A. Borri

 Robust multiple car tracking with occlusion reasoning
 D. Koller, J. Weber, J. Malik


 EGO-MOTION  AND 3D  RECOVERY

 Recovery of ego-motion using image stabilization
 M. Irani, B. Rousso,  S. Peleg

 Shape from motion algorithms: a comparative analysis of scaled 
 orthography and perspective
 B. Boufama, D. Weinshall, M. Werman

 Robust egomotion estimation from affine motion parallax
 J. Lawn, R. Cipolla

 Integrated 3D analysis of flight image sequences
 S. Sanghoon, N. Ahuja

 Recursive affine structure and motion from image sequences
 P.F. McLauchlan, I.D. Reid, D.W. Murray

 Shape models from image sequences
 X. Shen, D. Hogg

 Vibration modes for nonrigid motion analysis and animation in 3D 
 images
 C. Nastar


 15:40 - 17:30    RECOGNITION  I

  Applying VC-dimension analysis to object recognition  
  M. Lindenbaum, S. Ben-David

  Extraction of groupings for recognition 
  F. Stein, G. Medioni, P. Havaldar

  Constraint-fusion for localization and interpretation of constrained 
  objects 
  Y. Hel-Or, M. Werman

  Seeing behind occlusions 
  D.H. Ballard, R.P. Rao

  Face recognition: the problem of compensating for changes in 
   illumination direction 
  Y. Moses, Y. Adini, S.Ullman


  18:30    Stockholm City Hall Reception 

               WEDNESDAY  MAY 4

  08:45 - 10:35    SHAPE MODELLING 

  Learning flexible models from image sequences 
  A. Baumberg, D. Hogg

  A direct recovery of volumetric models in range images using recover-
  and-select paradigm 
  A. Leonardis, F. Solina, A. Macerl

  Segmentation and recovery of SHGCs from a real intensity image 
  M. Zerroug, R. Nevatia

  Recognizing hand gestures 
  J. Davis, M. Shah

  Pose refinement of active models using forces in 3D 
  A. Worrall, G. Sullivan, K. Baker

  10:35 - 11:00   COFFEE BREAK


  11:00 - 12:30   SHAPE ESTIMATION

  Recovering surface curvature and orientation from texture 
  distortion: a least squares algorithm and sensitivity analysis 
  J. Malik, R. Rosenholtz

  Direct estimation of local surface shape in a fixating binocular 
  vision system 
  J. Garding,  T. Lindeberg

  Deriving orientation cues from stereo images 
  L. Robert, M. Hebert

  Shape-adapted smoothing in estimation of 3-D depth cues from affine 
  distortions of local 2-D structure 
  T. Lindeberg, J. Garding

  12:30 - 14:00     LUNCH


  14:00 - 15:40		  EXHIBITION  
			  OPEN SESSION   
			  COFFEE 15:00 

			  POSTER SESSION 2   

 GEOMETRY AND SHAPE  II

 Three dimensional symmetry from two dimensional data
 H. Zabrodsky, D. Weinshall

 Consistency and correction of line-drawings, obtained by projections 
 of piecewise planar objects
 A. Heyden

 On the enumerative geometry of aspect graphs
 S. Petitjean

 Geometry-driven curve evolution
 P. Fiddelaers, E.J. Pauwels, M. Proesmans, L.J. Van Gool,  T. Moons

 Quantitative measurement of manufactured diamond shape
 R. Hartley, A. Noble, J. Grande, J. Liu

 Hierarchial shape representation using locally adaptive finite 
 elements: a model-based approach
 E. Koh, D. Metaxas, R. Badler


 CALIBRATION AND MULTIPLE VIEWS

 Camera calibration from spheres images
 N. Daucher, M. Dhome, J-T. Lapreste

 Self calibration of a stereo head mounted onto a robot arm
 R. Horaud, F. Dornaika, B. Boufama, R. Mohr

 Analytical methods for uncalibrated stereo and motion reconstruction
 J. Ponce, D.H. Marimont, T.A. Cass

 Euclidean reconstruction from uncalibrated views
 R. Hartley

 Relative affine structure and the trilinearity result
 A. Shashua

 What can two images tell us about a third one?
 O. Faugeras, L. Robert

 RECOGNITION  II

 A robust method for road sign detection and recognition
 G. Piccioli, E. De Micheli, M. Campani

 Pose determination and recognition of vehicles in traffic scenes
 T. Tan, G. Sullivan, K. Baker

 Performance evaluation of ten variations on the interpretation-tree 
 matching algorithm
 R.B. Fisher

 Recognition of human facial expressions without feature detection
 K. Matsuno, C-W. Lee, S. Tsuji

 A trainable tool for finding small volcanoes in SAR imagery of Venus
 M.C. Burl, U.M. Fayyad, P. Perona, P. Smyth, M.P. Burl

 Pulsed neural networks and perceptive grouping
 D. Derou, L. Herault

 Projective invariants for planar contour recognition
 M. Van Diest, L. Van Gool, T. Moons, E. Pauwels

 Divided we fall: Resolving occlusions using causal reasoning
 P. Cooper, L. Birnbaum, D. Halabe


 15:40 - 17:30    STEREO AND   CALIBRATION

  Camera calibration of a head-eye system for active vision 
  M. Li

  Linear pushbroom cameras 
  R. Hartley, R. Gupta

  Robust recovery of the epipolar geometry for an uncalibrated stereo rig 
  R. Deriche, Z. Zhang, Q.-T. Luong, O. Faugeras

  A stability analysis of the fundamental matrix 
  Q.-T. Luong, O.D. Faugeras

  Canonic representations for the geometries of multiple projective views 
  Q.-T. Luong, T. Vieville


	               THURSDAY  MAY 5


  08:45 - 10:35    ACTIVE VISION  I


  Active object recognition integrating attention and viewpoint control 
  S. J. Dickinson, H.I. Christensen, J. Tsotsos, G. Olofsson

  Active 3D object recognition using 3D affine invariants 
  S. Vinther, R. Cipolla

  Visually guided grasping in 3D 
  M.J. Taylor, A. Blake

  Visual tracking of high DOF articulated structures: An application 
  to human hand tracking  
  J. Rehg, T. Kanade

  Integration and control of reactive visual processes 
  J.L. Crowley, J.M. Bedrune, M. Bekker, M. Schneider



  10:35 - 11:00   COFFEE BREAK

  11:00 - 12:30    MOTION AND STRUCTURE

  Recursive motion estimation on the essential manifold 
  S. Soatto, R. Frezza, P. Perona

  Motion from point matches using affine epipolar geometry 
  L.S. Shapiro, A. Zisserman, J.M. Brady

  Navigation using affine structure from motion 
  P. Beardsley, A. Zisserman, D. Murray

  A paraperspective factorization method for shape and motion recovery 
  C. Poelman, T. Kanade

  12:30 - 14:00     LUNCH


  14:00 - 15:40		  EXHIBITION  
			  OPEN SESSION   
			  COFFEE 15:00 

			  POSTER SESSION 3

  ACTIVE VISION  II

 Active camera self-orientation using dynamic image parameters
 V. Sundareswaran, P. Bouthemy, F. Chaumette

 Planning the optimal set of views using the max-min principle
 J. Maver, A. Leonardis, F. Solina

 On perceptual advantages of eye-head active control
 E. Grosso

 Occluding contour detection using affine invariants and purposive 
 veiwpoint control
 K.N. Kutulakos, C.R. Dyer

 Autonomous exploration: driven by uncertainty
 P. Whaite, F.P. Ferrie



 MATCHING AND  REGISTRATION 
	
 Improving registration of 3-D medical images using a mechanical based 
 method
 G. Malandain, S. Fernandez-Vidal, J-M Rocchisani	

 Non-iterative contextual correspondence matching
 W. Christmas, J. Kittler, M. Petrou

 A registration method for rigid objects without point matching
 Y. Kita

 Non-parametric local transforms for computing visual correspondence
 R. Zabih, J. Woodfill

 Measuring the affine transform using gaussian filters
 R. Manmatha

 Extracting the affine transformation from texture moments
 J. Sato, R. Cipolla

 Lack-of-fit detection using the run distribution test
 A.W. Fitzgibbon, R.B. Fisher

 Disparity-space images and large occlusion stereo
 S.S. Intille, A.F. Bobick

 Registration of a curve on a surface using differential properties
 A. Gourdon, N. Ayache	

 Genetic algorithms applied to binocular stereovision
 R. Vaillant, L. Gueguen


 SEGMENTATION  AND RESTORATION

 Segmentation of echocardiographic images with markov random fields
 I.L. Herlin, D. Bereziat, C. Nguyen,  G. Giraudon, C. Graffigne

 Unsupervised regions segmentation: Real time control of an upkeep 
 machine of natural spaces
 M. Derras, C. Debain, M. Berducat, B. Ponton, J. Gallice

 Synchronous random fields and image restoration
 L. Younes

 Parameterfree information-preserving surface restoration
 U. Weidner
	 

 ILLUMINATION

 Spatially varying illumination: A computational model of converging 
 and diverging sources
 M. Langer, S Zucker	

 Adaptive polynomial modelling of the reflectance map for shape 
 estimation from stereo and shading
 D. Hougen, N. Ahuja


  15:40 - 17:30    SHADING  AND COLOUR

  Recovery of illuminant and surface colors from images based on the 
  CIE daylight 
  Y. Ohta and Y. Hayashi

  3-D stereo using photometric ratios 
  L.B. Wolff, E. Angelopoulou

  Shape from shading: provably convergent algorithms and uniqueness 
  results 
  P. Dupuis, J. Oliensis

  Seeing beyond Lambert+s law 
  M. Oren, S.K. Nayar

  Using 3-dimensional meshes to combine image-based and geometry-based 
  constraints 
  P. Fua, Y.G. Leclerc


  19:30     Conference Dinner 

	               FRIDAY  MAY 6

  08:45 - 10:35    MOTION SEGMENTATION

  Determination of optical flow and its discontinuities using non-
  linear diffusion 
  M. Proesmans, L.J. Van Gool, A. Oosterlinck

  Motion boundary detection in image sequences by local stochastic 
  tests 
  H.-H. Nagel, G. Socher, H. Kollnig, M. Otte

  Segmentation of moving objects by robust motion parameter estimation 
  over multiple frames. 
  S. Ayer, P. Schroeter, J. Bigun

  Stochastic motion clustering 
  P.H.S. Torr, D.W. Murray 

  Association of motion verbs with vehicle movements extracted from 
  dense optical flow fields 
  H. Kollnig, H.-H. Nagel, M. Otte


  10:35 - 11:00   COFFEE BREAK

  11:00 - 12:30   FEATURE-EXTRACTION
 
  Comparisons of probabilistic and non-probabilistic hough transforms 
  H. Kalviainen, P. Hirvonen, L. Xu and E. Oja

  Markov random field modeling in computer vision 
  S.Z. Li

  The role of key-points in finding contours 
  O. Henricsson, F. Heitger

  A framework for low level feature extraction 
  W. Forstner

  12:30 - 14:00     LUNCH

  14:00 - 15:30    REGISTRATION AND RECONSTRUCTION

  Rigid and affine registration of smooth surfaces using differential 
  properties 
  J. Feldmar, N Ayache

  The quadric reference surface: Applications in registering views of 
  complex 3D objects 
  A. Shashua, S. Toelg

  Relative 3D regularized B-spline surface reconstruction through 
  image sequences 
  C.S. Zhao, R. Mohr

  Intrinsic stabilizers of planar curves 
  H. Delingette

  15:30 - 16:00   COFFEE BREAK

  16:00 - 17:30    GEOMETRY AND INVARIANTS

  Affine and projective normalization of planar curves and regions 
  K. Astrom

  Area and length preserving geometric invariant scale- spaces
  G. Sapiro and A. Tannenbaum

  Invariants of 6 points from 3 uncalibrated images 
  L. Quan

  A common framework for kinetic depth, reconstruction and motion for 
  deformable objects 
  G. Sparr


               SATURDAY  MAY 7

         ESPRIT Basic Research Workshops 

On May 7 following the conference, a series of workshops will be 
organixed by members of the  ESPRIT Basic Research Action. Talks at 
these workshops will be given by invited speakers. Preliminary topics 
are: 

  New Results with Geometric Invariants
  (L. Van Gool organizer)

  Spatial Invariant Sensors
  (G. Sandini organizer)

  Neural Networks in Computer Vision
  (J. Crowley organizer)

Separate registration is necessary for these workshops. For  
information please contact: 

	James Crowley 
	IMAG, Institute National Polytechnique de Grenoble 
	46 Ave Felix Viallet, 38031 Grenoble France
	Telephone:	+ 33 7 657 46 55 
	Telefax:	+ 33 7 657 46 02 
	e-mail:		jlc@lifia.imag.fr


               Visit to Linkoping University 

On May 7 delegates  are invited to visit research groups involved in 
Computer Vision and Image Processing at Linkoping University, 
located 200 km SW of Stockholm.  Bus transportation will be organized 
and interested participants are invited to contact the conference desk.


		 SOCIAL PROGRAM

MONDAY, May 2	

Welcome Reception	18:00 - 20:00

An informal reception will be held at Norra Latin, the Conference 
Centre. A light buffet  will be served. 

Included in the registration fee. 

TUESDAY, May 3	

Stockholm City Hall Reception	18:30

The City of Stockholm and the Stockholm County Council invite you to a 
buffet dinner at the Stockholm  City Hall, beautifully situated on the 
waterfront of Riddarfjarden in central Stockholm. The City Hall  is 
world famous as the setting of the annual Nobel banquet. 
Included in the registration fee.

THURSDAY, May 5

Conference Dinner  19:30 

A Conference Dinner will be organized on Thursday May 5.  For this an 
extra cost of SEK 150 will be charged. (see registration form).


		    GENERAL INFORMATION

Conference Venue

The Conference will be held at the City Conference Centre, Norra 
Latin,  Drottninggatan 71 B, Stockholm Sweden. Norra Latin is a modern 
conference centre situated in a beautifully renovated building of 
classical  architecture, located in the center of the city. Hotels and 
shopping areas as well as major tourist  attractions are within easy 
walking distance. 


Conference Bureau

The Conference Bureau will be open for registration and information as 
follows: 

Monday, May 2			  18:00 - 20:00	 
Tuesday, May 3	- Friday, May 6   08:00 - 18:00  


Registration and Fees

Please use the enclosed registration form when registering for the 
Conference, Social Program and for making hotel reservations. Your 
registration will be taken care of on a 'first come - first served' 
basis. Events included in the registration fee should also be marked 
on the form. Your registration for together with payment should be 
sent to the secretariat, Stockholm Convention Bureau (SCB).  The 
registration fee covers: Admission to all Scientific Sessions, 
Exhibition, Documentation, Coffeee, Welcome Reception and City Hall 
Reception.  

Fee received  before March 15, 1994	SEK 2800 + VAT 25% =  SEK  3500 
Fee received  after  March 15, 1994	SEK 4000 + VAT 25% =  SEK  5000 
Students*				SEK 2000 + VAT 25% =  SEK  2500 

 * Letter from supervisor or chairman of department required.

Participants, whose fees are paid by a company or organisation, 
can apply to get the VAT refunded. Necessary forms will be available 
at the registration desk.


Payment

All payment should be made in Swedish Crowns (SEK) and made out to "
ECCV 94",  c/o Stockholm Convention Bureau. Payment can be made by any 
one of the following means: 

1.	A bankers' draft purchased at your bank and forwarded together with 
	your registration form. We regret that we are unable to accept 
	personal or company cheques.  

2.	A bank transfer made out to S-E-Banken, Stockholm, Account No 5267-
	10 066 16. 	Swift-address ESSESESS. 

3.	American Express Card, Diners Club Card, MasterCard, Eurocard and 
	Visa cards will be accepted. Please fill in the card number and valid 
	date on your registration form.  

4.	From the Nordic countries payment 
	can be  ent by Postal Giro 65 37 38-5. In Sweden you can also use 
	Bankgiro  644-8773. 

 Currency

(by December 17, 1993)

1 DEM	=	SEK	4.93 
1 FRF	=	SEK	1.44 
1 GBP	=	SEK	12.53 
1 CHF	=	SEK	5.76 
1 USD	=	SEK	8.42 


Confirmation

A letter will be sent to you confirming your registration to the 
Conference  and hotel reservation. 


Cancellation

Your cancellation has to be made in writing and sent to Stockholm 
Convention Bureau, (SCB). If received before April 15, 1994, all fees, 
except for cancellation charge of SEK 500, will be refunded. No 
refunds will be made after April 15, 1994. For cancelling hotel 
accommodation please see "Hotel Reservation".   


Hotels

A number of hotel rooms in different price categories have been 
reserved for the delegates of the Conference. All hotels are located 
close to the City terminal where the airport buses stop and within 
walking distance to the Conference venue.  Your hotel reservation will 
be confirmed when we have received your registration form together 
with your hotel deposit. This pre-payment will be deducted from your 
hotel bill when checking out on presentation of the voucher that you 
will get at the registration desk. The remaining amount is to be 
settled by you directly with the hotel.  Since only a certain number 
of hotel rooms has been reserved, we will operate on a 'first come-
first served' basis. In the event of the preferred hotel being fully 
subscribed, we reserve the right to provide another available alternative.   

		Single room 	Double room 
Continental	SEK	1.175	SEK	1.375 			
Freys	        SEK	850	SEK	990	
Wallin	        SEK	650	SEK	800	 

All rates, in SEK/night, include breakfast buffet, service and a VAT 
increment of 12\%. Prices quoted by SCB, do not include any 
alterations or additions to taxes or official changes not known by 
December 1993.   

 Hotel deposit: SEK 1.375 per room

Any enquiries or requests for additional information, changes or 
cancellations of room should be addressed directly to the secretariat, 
Stockholm Convention Bureau (SCB).  

Hotel deposits will be refunded in full provided cancellation is 
received by SCB one week prior to arrival at the latest. Thereafter, 
the cost for the first night of accommodation will be charged.  


Documentation  

The Proceedings of the conference are  published by Springer-Verlag 
and will be handed out to all conference participants at the beginning 
of the conference. 

Airport Transportation

Direct buses connect Arlanda Airport with the City terminal in central 
Stockholm every 15 minutes. The trip takes about 45 minutes and costs 
SEK 50.  If you intend to take a taxi, several companies have a set 
price between the city and the airport, SEK 250. (All prices valid in 
December 1993)  Airport tax is not required when leaving Sweden.

Cheques

Personal or Company cheques will not be accepted neither at the 
registration desk nor at the shops in Stockholm. Traveller's cheques 
are accepted by most banks in Sweden.  

Credit cards

Most hotels, restaurants and shops in Stockholm accept credit cards.

Local Transportation 

Stockholm has an extremely well-developed local transport system. A 
Congress ticket which entitles you to unlimited travelling by 
underground, buses and local trains within the whole of Stockholm 
County will be sold at the registration desk. (Prices: 24 hours SEK 
28, 48 hours SEK 56, 72 hours SEK 84).   

Lunches

Lunches are not included in the registration fee. There are various 
categories of restaurants located very close to the conference venue.  

Telephones

Pay phones are available at Norra Latin, both for local and long 
distance calls. Telephone cards can be bought at the Registration 
desk.  

Weather and Dress

Average temperature in Stockholm this time of the year is around  100
C (500F).   The mid-day temperature can be substantially higher 
however. Informal dress on all occasions. 

Insurance

Participants are advised to insure against loss, accidents and damage 
occuring during the conference. The organisers can in no way be held 
responsible.  If you have any questions, please do not hesitate to 
contact the Conference Secretariat 







ECCV - 94		REGISTRATION AND HOTEL BOOKING FORM

2 - 6 May, 1994
			     (Please use BLOCK LETTERS)
Stockholm, Sweden


Family name:____________________________________________________________	

First name:_____________________________Title/Profession:_______________	

Organisation/Company:___________________________________________________	

Mailing address:________________________________________________________

________________________________________________________________________					

_____________________________Country:___________________________________

Telephone:________________________Telefax:______________________________

Email:__________________________________________________________________	




			ADVANCE REGISTRATION						


REGISTRATION FEE			Price/	No. of    SEK	  (Code)
					person	persons
					 SEK          

Delegate fee received before March 15	*3.500	    1   ________   (001)

Delegate fee received after March 15	*5.000	    1   ________   (002)

Full time student			*2.500	    1   ________   (004)



SOCIAL PROGRAM

Welcome Reception, May 2		 incl.	 _____		   (055)

City Hall Reception, May 3		 incl.	 _____		   (056)

Banquet, May 5				*150	 _____	________   (057)

Please indicate all the social activities you intend to participate in.


HOTEL DEPOSIT

Per room				1.375		________


					Total SEK_______________

* Prices include VAT increment of 12-25%. SCB's VAT registration number is 
01-556127-7228.

  	  		   ACCOMMODATION


  Arrival:	_____/_____		Departure:     _____/_____


   ________________________________________________________________
  |	      | Single room    |       | Double room       |       |
  | Hotel     | SEK/night incl.| No of | SEK/night incl.   | No of |
  |	      | breakfast and  | rooms | breakfast and     | rooms |
  |	      | 12% VAT        |       | 12% VAT           |       |
  |___________|________________|_______|___________________|_______|
  |           |		       |       |		   |	   |
  |Continental| 1.175	       |       | 1.375		   |	   |
  |___________|________________|_______|___________________|_______|
  |           |		       |       |		   |	   |
  | Freys     |   850	       |       |   990		   |       |
  |___________|________________|_______|___________________|_______|
  |           |		       |       |		   |	   |
  | Wallin    |   650	       |       |   800		   |	   |
  |___________|________________|_______|___________________|_______|

  
   Reservations will be confirmed when Stockholm Convention Bureau has 
   received your hotel deposit.



				PAYMENT

Payment should be made in SEK, payable to SCB. Please indicate ECCV 94 
and your name on all money transfers.

 _
|_|	Banker's Draft (Personal or Company cheques cannot be accepted) 
 _
|_|	Bank Account, S-E-Banken, Stockholm No. 5267-10 066 16, 
	SWIFT-address ESSESESS
 _  				         _
|_|	Postal Giro 65 37 38-5		|_|	Bankgiro 644-8773 
 _ 					 _
|_|	Eurocard/Mastercard		|_|	Diners Club    
 _					 _
|_|	American Express 		|_|	Visa



Charge my card No.:___________________________________________________	

valid through:_______________ Total SEK:______________________________	

Date:______________Signature:_________________________________________

Please return this form to:

	Stockholm Convention Bureau,"ECCV 94", P O Box 6911
	S-102 39 Stockholm, Sweden 

	(Telefax No: +46 8 34 84 41)  
	
	PLEASE DO NOT FORGET TO TAKE A COPY FOR YOUR OWN RECORD

------------------------------

Date: 18 Jan 94 04:54:48 GMT
From: ai94@fermat.une.edu.au (Artificial Intelligence Conference 1994)
Subject: CFP: Australian Joint Conference on Artificial Intelligence (AI'94)
Keywords: conference, artificial intelligence, cfp, AI94

                             =========
                             F I R S T
                             =========

		      C A L L   F O R   P A P E R S

 Seventh Australian Joint Conference on Artificial Intelligence (AI'94)
		"Sowing the Seeds for the Future"

			  21 - 25 November 1994

			  Proudly sponsored by 
		Microsoft Institute (principal sponsor), 
	IBM, Sun Microsystems, Australian Computer Society, and
	Department of Mathematics, Statistics, and Computing Science (UNE).

				Hosted by
	Department of Mathematics, Statistics, and Computing Science
			The University of New England
			  Armidale, N.S.W., 2351
				AUSTRALIA

AI'94 is the Seventh Australian Joint Conference on Artificial
Intelligence. AI'94 is conducted under the auspices of the Australian
Computer Society's National Committee for Artificial Intelligence and
Expert Systems. The theme of the conference is "Sowing the Seeds for the
Future", which reflects the nature of research in Artificial Intelligence.
The goal of the conference is to promote research in artificial
intelligence (AI) and scientific interchange among AI researchers and
practitioners. AI'94 will be hosted by The Department of Mathematics,
Statistics, and Computing Science at The University of New England, between
Monday 21st November to Friday 25th November 1994. 


PROGRAM COMMITTEE CO-CHAIR                      ORGANISING COMMITTEE

Dr. Chengqi Zhang (co-chair)                    Dr. Dickson Lukose (chair)
Prof. John Debenham (co-chair)                  Mr. Allan Williams (secretary)
                                                Dr. Simant Dube (treasurer)
                                                Mr. Neil Dunstan
                                                Ms.  Gabrielle Aldridge


We invite authors to submit papers describing both experimental and
theoretical results from all stages of AI research.  In particular, we
encourage submission of papers that describe innovative concepts,
techniques, perspectives, or observations that are not yet supported by
mature results. Such submissions must include substantial analysis of the
ideas, the technology needed to realise them, and their potential impact.
Papers describing applied AI are particularly solicited.  In addition,
because of the essential interdisciplinary nature of AI and the need to
maintain effective communication across sub-specialties, we encourage
authors to position and motivate their work in the larger context of the
general AI community.  Topics of interest include, but are not limited to:

Machine Learning                            Knowledge Acquisition
Natural Language Processing                 Natural Language Understanding
Hybrid Systems                              Genetic Algorithms
Evolutionary Programming                    Knowledge Based Systems
Knowledge Representation                    Qualitative Reasoning
Automated Reasoning                         Planning and Scheduling
Cognitive Modelling                         Robotics
Vision                                      Distributed Artificial Intelligence
Neural Network                              Image Analysis

Authors are invited to submit complete, original papers in the format
specified below, reflecting their current research results. All submitted
papers will be refereed for quality and originality. The program committee
reserves the right to accept submissions as either technical or poster
presentation paper. Authors must submit five (5) copies of the completed
paper to the AI'94 Conference Secretary at the following address by 15th.
June 1994.

		          AI'94 Conference Secretary
	Department of Mathematics, Statistics, and Computing Science
		        The University of New England
		           Armidale, N.S.W., 2351
		                 AUSTRALIA 

All five (5) copies of the submitted paper must be clearly legible. Neither
computer files nor fax submission are acceptable. Papers received after the
15th. June 1994 will be returned unopened. Notification of receipt will be
mailed to the first author (or designated author) soon after receipt. 
 

PAPER FORMAT FOR REVIEW

All five copies of the submissions must be printed on 8 1/2" x 11" or A4
paper using 12 point type (10 characters per inch for typewriters or 12
point LaTeX article-style). Double-sided printing is strongly encouraged.
The body of submitted papers must be at most 8 pages, including figures,
tables, diagrams, and bibliography, but excluding the title page. Papers
exceeding the specified length or formatting requirements are subject to
rejection without review. Each copy of the paper must have a title page
(separate from the body of the paper) containing the title of the paper,
the names and addresses of all authors, telephone number, fax number and
electronic mail address, a short (less than 200 word) abstract, and a
descriptive content area or areas. The body of the paper should have a copy
of the title and a page number on each page. To facilitate the reviewing
process, authors are requested to select appropriate content areas from the
list below. Authors are invited to add additional content area descriptors
to their title page as needed.

Artificial Life, Automated Reasoning, Behaviour-Based Control, Belief
Revision, Case-Based Reasoning, Cognitive Modelling, Common Sense
Reasoning, Communication and Cooperation, Constraint-Based Reasoning,
Computer-Aided Education, Connectionist Models, Corpus-Based Language
Analysis, Deduction, Diagnosis, Discourse Analysis, Distributed Problem
Solving, Expert Systems, Geometrical Reasoning, Information Extraction,
Knowledge Acquisition, Knowledge Representation, Knowledge Sharing
Technology, Large Scale Knowledge Engineering, Learning/Adaptation, Machine
Learning, Machine Translation, Mathematical Foundations, Multi-Agent
Planning, Natural Language Processing, Neural Networks, Nonmonotonic
Reasoning, Perception, Planning, Probabilistic Reasoning, Qualitative
Reasoning, Reasoning about Action, Reasoning about Physical Systems,
Reactivity, Robot Navigation, Robotics, Rule-Based Reasoning, Scheduling,
Search, Sensor Interpretation, Sensory Fusion/Fission, Simulation, Situated
Cognition, Spatial Reasoning, Speech Recognition, System Architectures,
Temporal Reasoning, Terminological Reasoning, Theorem Proving, Truth
Maintenance, User Interfaces, Virtual Reality, Vision, 3-D Model
Acquisition.

Each paper will be carefully reviewed. Questions that will appear on the
review form have been reproduced below.  Authors are  advised to bear these
questions in mind while writing their papers:  How important is the work
reported?  Does it attack an important/difficult problem or a
peripheral/simple one?  Does the approach offered advance the state of the
art? Has this or similar work been previously reported?  Are the problems
and approaches completely new?  Is this a novel combination of familiar
techniques?  Does the paper point out differences from related research? Is
it re-inventing the wheel using new terminology? Is the paper technically
sound?  Does it carefully evaluate the strengths and limitations of its
contribution?  How are its claims backed up? Is the paper clearly written?
Does it motivate the research? Does it describe the inputs, outputs and
basic algorithms employed?  Does the paper describe previous work? Are the
results described and evaluated? Is the paper organised in a logical
fashion?
 

IMPORTANT DATES
Deadline for paper submission           :       15th. June 1994
Notification of acceptance              :       31st. July 1994
Camera Ready Copy                       :       22nd. August 1994


FURTHER INFORMATION
All enquires regarding AI'94 should be directed to the following address:

                         AI'94 Conference Secretary
         Department of Mathematics, Statistics, and Computing Science
                       The University of New England
                          Armidale, N.S.W., 2351
                                AUSTRALIA

                      E-mail: ai94@fermat.une.edu.au

You may e-mail the following address with the Subject Heading "help" to
obtain details on AI'94, UNE, and Armidale.

			ai94-info@fermat.une.edu.au

ai94-info mail server has been established to enable electronic request for
information regarding AI'94 Conference. 

------------------------------

Date: Mon, 17 Jan 1994 21:50:56 GMT
From: estes@ece.ucdavis.edu (Robert Estes)
Organization: U.C. Davis - Department of Electrical Engineering and Computer Science
Subject: PCS 94 reminder - summaries due February 1
			 
			  ***  REMINDER ***
			 
			   CALL FOR PAPERS

			       PCS '94

		    1994 Picture Coding Symposium

		       September 21 - 23, 1994

			 Hyatt Regency Hotel

			Sacramento, California

                ***  Summaries due February 1, 1994 ***

Papers containing new, original and unpublished material of research
character are solicited. Prospective authors are asked to submit for
review 4 copies of a preliminary summary of the paper, in English. The
summary should be no more than four pages, but not less than two. You
are requested to leave a 1in left margin and use good printing quality
(Times Roman, 12pt font preferred) monochrome photographs should be
pasted in the text.  Authors interested in submitting color
photographs should contact the PCS94 committee. Two types of
presentations will be used, oral and poster presentations. About 15
minutes will be allotted to each oral presentation, including
discussions.  In order to maintain the quality and focus of the
Symposium, no parallel sessions will be held.

Overhead projector, 35 mm slide projector and U-matic 3/4" NTSC*/*PAL
will be available. Other means of visual aids may be provided on
request.

Areas of interest include, but are not limited to: 

 - Human observer/psychophysics 
 - Feature extraction and picture processing 
 - Coding of still pictures 
 - Coding of moving pictures 
 - Modeling and synthetic coding 
 - Error protection 
 - Implementation architecture and LSI 

New Areas:

 - Image and video compression in a multimedia computer network environment
 - Very high quality imaging (photographic and technical report quality)
 - Very low bit rate video coding. (<64 Kbps)
 - Software encoding/decoding 

Authors' schedule:

Submission of summary and registration sheet: February 1, 1994; Notice
of Acceptance: May 1, 1994; Submission of revised summary (optional)
June 1, 1994.  Presentations/posters will be limited to a maximum of
three per attendee (with at most one of these as first author).
Persons interested in contributing to the program or receiving more
information, please contact:

PCS 94
CIPIC - Center for Image Processing and Integrated Computing
2345 Academic Surge Building
University of California 
Davis, CA  95616-8553   USA
Tel:  +1-916-752-2387
Fax:  +1-916-752-8894
E-mail:  pcs94@cipic.ucdavis.edu

 -------------------------------Cut Here-----------------------------------

		    PCS 94 - INFORMATION REQUEST

     Name:__________________________________________________________

  Address:__________________________________________________________

          __________________________________________________________

          __________________________________________________________	

  Country:_____________________

Telephone:_____________________   Fax:_______________________  	

E-mail address:________________________________  	

I intend to:  (  ) submit a paper  (  ) attend only

Title of Paper or Area of Interest:______________________________________

Send registration info? (yes/no)

 -------------------------------and Here----------------------------------

				PCS 94

International Steering Committee:

Chair: V. Ralph Algazi, University of California, Davis, USA
Claude Labit, IRISA, France
Hans G. Musmann, University of Hannover, Germany
Leonardo  Chiariglione, CSELT, Italy
Hiroshi Yasuda, NTT, Japan
Yasuhiko Yasuda, Waseda University, Japan
Makoto Miyahara, JAIST, Japan
Don Pearson, University  of Essex, UK
Barry Haskell, ATT Bell Labs, USA
Martin Vetterli, University of California, Berkeley; Columbia University, USA
Didier LeGall, C-Cube, USA
Andrew Lippman, MIT, USA
John Woods, Renselaer, USA
John Limb, Hewlett Packard, USA
Murat Kunt, EPFL, Switzerland
Michael Biggar, Telecom, Australia
Andrew Tescher, Lockheed, USA

Program Committee:

Chair: Todd R. Reed, University of California, Davis, USA
Tom Lookabaugh, DiviCom, USA
Fred Kitson, Hewlett Packard, USA
Alex Drukarev, Hewlett Packard, USA
Yoshinori Sakai, Tokyo Institute of Technology, Japan
Mohamed Ghanbari, University of Essex, UK

Local Organization Committee:

Chair: Gary Ford, University of  California, Davis, USA
Todd R. Reed, University of California, Davis, USA
Vasudev Bhaskaran, Hewlett Packard, USA
-- 
Robert estes@cipic.ucdavis.edu
Center for Image Processing and Integrated Computing (CIPIC)
University of California, Davis
Davis, California 95616 Phone: (916) 753-6430

------------------------------

Date: 20 Jan 94 04:15:37 GMT
From: rik@cs.ucsd.edu (Rik Belew)
Organization: CSE Dept., UC San Diego
Subject: AI Genealogy [LONG]

                             AI GENEALOGY
                     Building an AI family tree

More and more collections of bibliographic references to the
literatures of artificial intelligence, cognitive science, computer
science and other disciplines are becoming available over the Net.
Much of the work in free-text information retrieval (IR) is aimed at
developing INDEXING methods which would allow access to these
citations by appropriate keywords.  Another potential source of
information that could augment these  is "cultural" information
capturing some features of the SOCIAL relationships among authors in a
field.  Towards that purpose, we ask your help in developing a "family
tree" capturing one type of intellectual relationship, thesis
advising.  Historians and philosophers of science have pointed to the
importance of this channel of intellectual lineage generally, and some
preliminary studies have explored its role in AI in particular.

Some of you may recall an earlier version of this query sent out
several years ago.  From this call and other sources we have to date
collected information on approximately 2600 Masters and Ph.D. theses
nominally in the area of AI.  As a result, information about your
thesis may already be included in our database.  A small, early subset
of theses for which we have data are included in a report
below.  The entire list (about 170KB) is available for anonymous FTP at:

	cs.ucsd.edu:/pub/rik/aigen.rpt

However, we know that our methods for collecting this data have not
been exhaustive, and so we are again sending this query out to
relevant places on the Net (news groups, etc.) in hopes of filling in
gaps.  In some cases we are missing  information (esp. thesis
abstracts) in the records of some individuals (these are denoted by
dashes in the reports).  In many more cases, we know we are missing
names entirely.

If you are not already included in our database, have a Masters or
Ph.D. and consider yourself a researcher in AI, we would like you to
send us some information about your thesis: its year, title, abstract,
where you got your degree, who your advisor and committee members
were.  In subsequent work, we also hope to analyze flow between
research institutions, and so we also ask where you have worked since
you completed your degree.  The specific questions are contained in a
brief questionnaire below, and this is followed by an example. If you
can snip this (soft copy) questionnaire, fill it in and send back to
me intact it will reduce the chance that we'll get any of your data
wrong and make our parsing task easier.

If you know some of these facts about your advisor (committee
members), and their advisors, etc., we would appreciate it if you
could send that information as well.  One of our goals is to trace the
genealogy of today's researchers back as far as possible, for example
to participants in the Dartmouth conference of 1956, as well as
connections to other disciplines. If you do have any of this
information, simply duplicate the questionnaire and fill in a separate
copy for each person.  Also, please forward this query to any of your
colleagues that may not see this mailing list.

Let me anticipate some concerns you may have.  First, no one would
suggest that AI research is published only in theses.  This
restriction is designed only to explore one notion of "intellectual
lineage" more precisely.  To the extent that this information about AI
authors proves useful, it should be possible to extrapolate from
theses to other publications by these same individuals.  Also, be
advised that this is very much a not-for-profit operation.  The
resulting information will remain a resource in the public domain and
available for FTP (and soon Gopher and WWW, etc.) access.

If you have any questions, or suggestions, please let me know. Thank
you for your help.

Richard K. Belew
	Computer Science & Engr. Dept. (0114)
	Univ. Calif. - San Diego
	La Jolla, CA 92093-0114
	619/534-2601
	619/534-5948  (messages)
	rik@cs.ucsd.edu

Enclosures:	Questionaire - template
		Questionaire - sample
		AI Genealogy report - sample


  --------------------------------------------------------------
			  AI Genealogy questionnaire
			Please complete and return to:
			        rik@cs.ucsd.edu


NAME:	

Thesis year:	

Thesis title:

Thesis abstract - BEGIN
    <Multi-line abstract goes here>
Thesis abstract - END

Department:

University:
Univ. location:	

Thesis advisor:	
Advisor's department:	

Committee member:	
Member's department:

Committee member:	
Member's department:

Research group:		
Research institution:	
Institution location:	
Dates:			

Research group:		
Research institution:	
Institution location:	
Dates:			


 --------------------------------------------------------------
			  AI Genealogy questionnaire
                                  EXAMPLE

NAME:			Richard K. Belew	

Thesis year:		1986	

Thesis title:		Adaptive information retrieval: machine learning in associative networks

Thesis abstract - BEGIN

     One interesting issue in artificial intelligence (AI) currently is the
relative merits of, and relationship between, the "symbolic" and
"connectionist" approaches to intelligent systems building. The performance
of more traditional symbolic systems has been striking, but getting these
systems to learn truly new symbols has proven difficult. Recently, some
researchers have begun to explore a distinctly different type of
representation, similar in some respects to the nerve nets of several
decades past. In these massively parallel, connectionist models, symbols
arise implicitly, through the interactions of many simple and sub-symbolic
elements. One of the advantages of using such simple elements as building
blocks is that several learning algorithms work quite well. The range of
application for connectionist models has remained limited, however, and it
has been difficult to bridge the gap between this work and standard AI.
         The AIR system represents a connectionist approach to the problem
of free-text information retrieval (IR). Not only is this an increasingly
important type of data, but it provides an excellent demonstration of the
advantages of connectionist mechanisms, particularly adaptive mechanisms.
AIR's goal is to build an indexing structure that will retrieve documents
that are likely to be found relevant. Over time, by using users' browsing
patterns as an indication of approval, AIR comes to learn what the keywords
(symbols) mean so as use them to retrieve appropriate documents. AIR thus
attempts to bridge the gap between connectionist learning techniques and
symbolic knowledge representations.
         The work described was done in two phases. The first phase
concentrated on mapping the IR task into a connectionist network; it is
shown that IR is very amenable to this representation. The second, more
central phase of the research has shown that this network can also adapt.
AIR translates the browsing behaviors of its users into a feedback signal
used by a Hebbian-like local learning rule to change the weights on some
links. Experience with a series of alternative learning rules are reported,
and the results of experiments using human subjects to evaluate the results
of AIR's learning are presented.

Thesis abstract - END

Department:		Computer & Communication Sciences (CCS)

University:		University of Michigan

Univ. location:		Ann Arbor, Michigan

Thesis advisor:		Stephen Kaplan	
Advisor's department:	Psychology	

Thesis advisor:		Paul D. Scott
Advisor's department:	CCS 	

Committee member:	Michael D. Gordon	
Member's department:	Mgmt. Info. Systems - Business School

Committee member:	John H. Holland	
Member's department:	CCS

Committee member:	Robert K. Lindsay	
Member's department:	Psychology

Research group:		Computer Science & Engr. Dept.
Research institution:	Univ. California - San Diego
Institution location:	La Jolla, CA
Dates:			9/1/86 - present			


 --------------------------------------------------------------

"Root" advisor
   Year  Student/advisor			Thesis title
======================================		=============================

McCulloch, W. S.
   ----  Minsky, Marvin                         ----
      ----  Winston, Patrick H.                 ----
         1985  Andreae, Peter                   JUSTIFIED GENERALIZATION:...
         1992  Lee, Jintae                      A DECISION RATIONALE...
         1992  Borchardt, Gary Conrad           CAUSAL RECONSTRUCTION:...
      ----  Greenblatt, Richard                 ----
      ----  Evans, Thomas                       ----
      1964  Bobrow, Daniel G.                   USING NATURAL LANGUAGE INPUT...
      1964  Raphael, Bert                       SEMANTIC INFORMATION RETRIEVER
      1968  Guzman, Adolfo                      COMPUTER RECOGNITION OF...
      1970  Jones, Thomas L.                    A COMPUTER MODEL OF SIMPLE...
      1970  Horn, Berthold K.P.                 SHAPE FROM SHADING: A METHOD...
         1978  Woodham, Robert                  REFLECTANCE MAP TECHNIQUES...
         1987  Gennert, Michael A.              A COMPUTATIONAL FRAMEWORK...
      1971  Smoliar, Stephen William            A PARALLEL PROCESSING MODEL...
   ----  Papert, Seymour                        ----
      ----  Charniak, Eugene                    SEE CO-ADV MOSES, JOEL
      1970  Winograd, Terry                     PROCEDURES AS A...
         1981  Gabriel, Richard P.              AN ORGANIZATION FOR PROGRAMS...
      1993  Mcgee, Kevin                        PLAY AND THE GENESIS OF...
Shannon, C.
   ----  McCarthy, John                         ----
      1966  Reddy, D. Raj                       AN APPROACH TO COMPUTER...
         1974  Erman, Lee D.                    AN ENVIRONMENT AND SYSTEM...
Moses, Joel
   ----  Charniak, Eugene                       PATTERN RECOGNITION?
      1983  Hirst, Graeme                       SEMANTIC INTERPRETATION...
      1986  Hendler, James Alexander            INTEGRATING MARKER-PASSING...
         1989  Kambhampati, Subbarao            FLEXIBLE REUSE AND...
         1992  Spector, Lee Arthur              SUPERVENIENCE IN...
      1988  Mccartney, Robert David             SYNTHESIZING ALGORITHMS WITH...
      1990  Calistri, Randall J.                CLASSIFYING AND DETECTING...
      1991  Goldman, Robert Prescott            A PROBABILISTIC APPROACH TO...
Mandelbrot
   ----  Agmon, Jacob                           ----
      ----  Shamir, Eliahu                      ----
         ----  Beeri, Catriel                   ----
            1981  Vardi, Moshe Y.               THE IMPLICATION PROBLEM FOR...
         1978  Lehmann, Daniel                  CATEGORIES FOR FIXPOINT...
Simon, Herbert A.
   1957  Newell, Allen                          INFORMATION PROCESSING : A...
      1964  London, Ralph L.                    A COMPUTER PROGRAM FOR...
      1966  Ernst, George W.                    GENERALITY AND GPS
         1991  He, Xiaoping                     METHODS FOR AN EXPERT SYSTEM...
      1967  Winikoff, Arnold W.                 EYE MOVEMENTS AS AN AID TO...
      1968  Quatse, Jesse T.                    A HIGHLY-MODULAR...
      1968  Fikes, Richard E.                   A HEURISTIC PROGRAM FOR...
      1969  Freeman, Peter A.                   SOURCEBOOK FOR OSD : AN...
      1971  Moore, James Aston Jr.              THE DESIGN AND EVALUATION OF...
      1972  Gibbons, Gregory Debbie             BEYOND REF - ARF : TOWARD AN...
      1973  Moran, Thomas Patrick               THE SYMBOLIC IMAGERY...
      1974  Farley, Arthur Melvin               VIPS : A VISUAL IMAGERY AND...
      1974  Young, Richard M.                   CHILDREN'S SERIATION...
      1974  Reeker, Larry Henry                 A PROBLEM-SOLVING THEORY OF...
      1974  Mann, William Carlton               MEMORY PROCESSES FOR...
      1975  Brooks, Ruven E.                    A MODEL OF HUMAN COGNITIVE...
      1976  Rychener, Michael David             PRODUCTION SYSTEMS AS A...
      1978  Card, Stuart K.                     STUDIES IN THE PSYCHOLOGY OF...
      1978  McCracken, Donald                   A PRODUCTION SYSTEM VERSION...
      1978  Gillogly, James John                PERFORMANCE ANALYSIS OF THE...
      1979  Forgy, Charles Lanny                ON THE EFFICIENT...
      1981  Ramakrishna, Kamesh                 SCHEMATIZATION AS AN AID TO...
      1981  Mostow, Jack                        MECHANICAL TRANSFORMATION OF...
         1992  Bhatnagar, Neeraj                ON-LINE LEARNING FROM SEARCH...
      1983  Rosenbloom, Paul Simon              THE CHUNKING OF GOAL...
         1992  Golding, Andrew Robert           PRONOUNCING NAMES BY A...
      1983  Laird, John E.                      UNIVERSAL SUBGOALING
         1989  Markovitch, Shaul                SEE CO-ADV SCOTT, PAUL D.
         1990  Paxton, John Telfair             MARTIAN: A CONCEPT LEARNING...
      1988  John, Bonnie Elizabeth.             CONTRIBUTIONS TO ENGINEERING...
      1989  Steier, David Menachem.             AUTOMATING ALGORITHM DESIGN...
      1992  Yost, Gregg R.                      TAQL: A PROBLEM SPACE TOOL...
   1959  Feldman, Julian                        AN ANALYSIS OF PREDICTIVE...
   1960  Feigenbaum, Edward A.                  AN INFORMATION PROCESSING...
      ----  Lenat, Douglas B.                   ----
      1989  Karp, Peter Dornin                  HYPOTHESIS FORMATION AND...
      1992  Guha, Ramanathan V.                 SEE CO-ADV MCCARTHY, JOHN
   1961  Lindsay, Robert K.                     THE READING MACHINE PROBLEM.
   1962  Muth, John F.                          OPTIMAL LINEAR POLICIES.
   1963  Levy, Ferdinand Katz                   AN ADAPTIVE PRODUCTION...
   1964  Knight, Kenneth E.                     A FAST SORT OF COUNTRY : A...
   1965  Williams, Thomas G.                    SOME STUDIES IN GAME PLAYING...
   1966  Crecine, John P.                       A COMPUTER SIMULATION MODEL...
   1967  Quillian, M. Ross                      SEMANTIC MEMORY.
   1967  Coles, L. Stephen                      SYNTAX DIRECTED...
   1967  Klahr, David                           DECISION MAKING IN A COMPLEX...
   1967  Soelberg, Peer                         A STUDY FOR DECISION MAKING...
   1968  Siklossy, Laurent                      NATURAL LANGUAGE LEARINING...
   1968  Bree, David S.                         THE UNDERSTANDING PROCESS AS...
   1969  Wilson, Glenn Tilbrook                 BEHAVIORAL THEORY OF...
   1969  Dansereau, Donald F.                   AN INFORMATION PROCESSING...
   1969  Pople, Harry E. Jr.                    A GOAL-ORIENTED LANGUAGE FOR...
   1969  Williams, Donald S.                    COMPUTER PROGRAM...
   1969  Huesmann, L. Rowell                    A STUDY OF HEURISTIC...
   1969  Waldinger, Richard J.                  CONSTRUCTING PROGRAMS...
   1970  Grason, John.                          METHODS FOR THE...
   1971  Ein-Dor, Phillip                       ELEMENTS OF A THEORY OF...
   1971  Tuggle, Francis Douglas                A PRODUCTION SYSTEM...
   1971  Pfefferkorn, Charles E.                COMPUTER DESIGN OF EQUIPMENT...
   1973  Friend, Kenneth Edwin                  AN INFORMATION PROCESSING...
   1974  Gilmartin, Kevin J.                    AN INFORMATION PROCESSING...
   1974  Rosenberg, Steven T.                   MODELLING SEMANTIC MEMORY : ...
   1974  Hedrick, Charles L.                    A COMPUTER PROGRAM TO LEARN...
   1978  Bouwman, Marinus J.                    FINANCIAL DIAGNOSIS: A...
   1979  Gaschnig, John                         PERFORMANCE MEASUREMENT AND...
   1980  Langley, Patrick W.                    DECSRIPTIVE DISCOVERY...
      1989  Nordhausen, Bernd Enno              A COMPUTATIONAL FRAMEWORK...
      1989  Rose, Donald David                  BELIEF REVISION AND MACHINE...
      1989  Jones, Randolph Martin              A MODEL OF RETRIEVAL IN...
      1990  Gennari, John Hewson                AN EXPERIMENTAL STUDY OF...
      1991  Iba, Wayne Franklin                 ACQUISITION AND IMPROVEMENT...
   1981  Neves, David Michael                   LEARNING PROCEDURES FOR...
   1981  Bromiley, Philip                       A BEHAVIORAL INVESTIGATION...
   1983  Korf, Richard Earl                     LEARNING TO SOLVE PROBLEMS...
      1993  Powley, Curtis Nelson               PARALLEL TREE SEARCH ON A...
   1983  Fox, Mark S.                           CONSTRAINT-DIRECTED SEARCH :...
   1984  Kotovsky, Kenneth                      TOWER OF HANOI PROBLEM...
   1985  Tomita, Masaru                         AN EFFICIENT CONTEXT-FREE...
   1986  Zhang, Guo-Jan                         LEARNING TO PROGRAM IN OPS5.
   1988  Kulkarni, Deepak.                      THE PROCESSES OF SCIENTIFIC...
   1988  Iwasaki, Yumi                          MODEL BASED REASONING OF...
   1989  Shen, Wei-Min.                         LEARNING FROM ENVIRONMENTS...
   1991  Valdes-Perez, Raul Eduardo             MACHINE DISCOVERY OF...
Luce, R. Duncan
   1962  Norman, Donald A.                      NEURAL QUANTUM THEORY 
Hunt, Earl B.
   1968  Quinlan, J. Ross                       AN EXPERIENCE-GATHERING...
Mey, Jacob
   1969  Schank, Roger C.                       A CONCEPTUAL DEPENDENCY...
      ----  Reisbeck, C.                        ----
      ----  Seifert, C.                         ----
      ----  Gershman                            ----
      ----  Lytinen, S.                         ----
      ----  Carbonell, Jaime G.                 ----
         1988  Minton, Steven                   LEARNING EFFECTIVE SEARCH...
         1991  Perlin, Mark W.                  AUTOMATING THE CONSTRUCTION...
         1991  Hauptmann, Alexander Georg       MEANING FROM STRUCTURE IN...
      ----  Bain, William Michael               ----
      ----  Goldman                             ----
      ----  Dejong, Gerald Francis              ----
         1987  Segre, Alberto Maria             EXPLANATION-BASED LEARNING...
         1988  Shavlik, Jude William            GENERALIZING THE STRUCTURE...
            1991  Towell, Geoffrey Gilmer       SYMBOLIC KNOWLEDGE AND...
         1988  Mooney, Raymond Joseph           A GENERAL EXPLANATION-BASED...
            1992  Ng, Hwee Tou                  A GENERAL ABDUCTIVE SYSTEM...
         1989  Rajamoney, Shankar Anandsubramaniam  EXPLANATION-BASED THEORY...
         1991  Chien, Steve Ankuo               AN EXPLANATION-BASED...
         1993  Bennett, Scott William           A MACHINE LEARNING APPROACH...
      ----  Cullingford                         ----
      ----  Collins                             ----
      ----  Granger, Richard H. Jr.             ----
         1989  Eiselt, Kurt Paul                INFERENCE PROCESSING AND...
      ----  Kolodner, Janet L.                  ----
         1989  Shinn, Hong Shik                 A UNIFIED APPROACH TO...
         1989  Turner, Roy Marvin               A SCHEMA-BASED MODEL OF...
         1991  Hinrichs, Thomas Ryland          PROBLEM-SOLVING IN OPEN...
         1992  Redmond, Michael Albert          LEARNING BY OBSERVING AND...
      ----  Lehnert, Wendy G.                   ----
         1983  Dyer, Michael G.                 IN-DEPTH UNDERSTANDING: A...
            1987  Mueller, Eric                 DAYDREAMING AND COMPUTATION:...
            1987  Zernik, Uri                   STRATEGIES IN LANGUAGE...
            1988  Pazzani, Michael John         LEARNING CAUSAL...
            1988  Gasser, Michael               SEE CO-ADV HATCH, EVELYN
            1989  Dolan, Charles Patrick        TENSOR MANIPULATION...
            1989  Alvarado, Sergio Jose         UNDERSTANDING EDITORIAL...
            1989  Dolan, Charles                THE USE AND ACQUISITION OF...
            1991  Lee, Geunbae                  DISTRIBUTED SEMANTIC...
            1991  Reeves, John Fairbanks        COMPUTATIONAL MORALITY: A...
            1991  Nenov, Valeriy Iliev          PERCEPTUALLY GROUNDED...
            1991  Quilici, Alexander Eric       THE CORRECTION MACHINE: A...
            1993  Turner, Scott R.              MINSTREL: A COMPUTER MODEL...
         1990  Williams, Robert Stuart          LEARNING PLAN SCHEMAS FROM...
      ----  Reiger, C.                          ----
      1976  Meehan, James R.                    THE METANOVEL: WRITING...
      1978  Wilensky, Robert                    UNDERSTANDING GOAL-BASED...
         1985  Jacobs, Paul                     A KNOWLEDGE-BASED APPROACH...
         1986  Norvig, Peter                    A UNIFIED THEORY OF...
         1986  Arens, Yigal                     CLUSTER: AN APPORACH TO...
         1987  Chin, David Ngi                  INTELLIGENT AGENTS AS A...
      1980  Lebowitz, Michael                   GENERALIZATION AND MEMORY IN...
      1987  Hovy, Eduard Hendrik                GENERATING NATURAL LANUGAGE...
      1988  Hunter, Lawrence E.                 GAINING EXPERTISE THROUGH...
      1989  Ram, Ashwin                         QUESTION-DRIVEN...
      1989  Dehn, Natalie Jane                  COMPUTER STORY-WRITING: THE...
      1990  Leake, David Browder                EVALUATING EXPLANATIONS 
      1992  Domeshek, Eric Andrew               DO THE RIGHT THING: A...
      1993  Edelson, Daniel Choy                LEARNING FROM STORIES:...
Holland, John H.
   1969  Westerdale, Thomas H.                  A SELF DESCRIBING AXIOMATIC...
   1982  Booker, Lashon B.                      INTELLIGENT BEHAVIOR AS AN...
   1985  Forrest, Stephanie                     A STUDY OF PARALLELISM IN...
   1988  Riolo, Rick L.                         EMPIRICAL STUDIES OF DEFAULT...
   1990  Mitchell, Melanie                      SEE CO-ADV HOFSTADTER, DOUGLAS
   1992  French, Robert Matthew                 SEE CO-ADV HOFSTADTER, DOUGLAS
Feldman, Jerome A.
   1970  Tenenbaum, Jay M.                      ACCOMMODATION IN COMPUTER...
   1989  Weber, Susan Hollbach                  A STRUCTURED CONNECTIONIST...
   1992  Goddard, Nigel Hugh                    THE PERCEPTION OF...
Zvegincev, Vladimir A.
   1970  Raskin, Victor                         TOWARDS A THEORY OF...
Pavlidis, Theo
   1970  Mylopoulos, John                       ----
      1978  Peacocke, Dick                      A FORMALISM FOR PICTORIAL...
      1982  Levesque, Hector J.                 A FORMAL TREATMENT OF...
         1987  Patel-Schneider, Peter F.        DECIDABLE, LOGIC-BASED...
      1987  Kramer, Bryan M.                    CONTROL OF REASONING IN...
Travis, Larry E.
   1971  Shapiro, Stuart C.                     A DATA STRUCTURE FOR...
   1991  Noordewier, Michiel Oliver             A DECLARATIVE COMPUTATIONAL...
   1991  Medow, Mitchell Aaron                  KNOWLEDGE ACQUISITION FOR...
Meltzer, Bernard
   1973  Hayes, Patrick John                    SEMANTIC TREES IN AUTOMATIC...
Prata, William K.
   1975  Huhns, Michael N.                      OPTIMUM RESTORATION OF...
Cohen, Stanley N.
   1975  Shortliffe, Ted                        MYCIN:  A RULE-BASED...
      1985  Cooper, Gregory F.                  NESTOR: A COMPUTER-BASED...
         1990  Chavez, R. Martin                ARCHITECTURES AND...
         1992  Suermondt, Henri Jacques         EXPLANATION IN BAYESIAN...
      1988  Musen, Mark Alan                    GENERATION OF MODEL-BASED...
      1989  Klein, David A.                     INTERPRETIVE VALUE ANALYSIS 
      1990  Heckerman, David Earl               PROBABILISTIC SIMILARITY...
      1992  Lehmann, Harold Philip              A BAYESIAN COMPUTER-BASED...
Castaneda, Hector-Neri
   1976  Rapaport, William J.                   INTENTIONALITY AND THE...
      1992  Srihari, Rohini Kesavan             EXTRACTING VISUAL...
Perlis, Alan J.
   1976  Krutar, Rudolph A.                     FLEXORS.
Starkweather, John
   1976  Wiederhold, Gio                        A METHODOLOGY FOR THE DESIGN...
      1979  Shoch, John                         DESIGN AND PERFORMANCE OF...
      1979  Garcia-Molina, Hector               PERFORMANCE OF UPDATE...
         1991  Staelin, Carl Hudson             HIGH-PERFORMANCE FILE SYSTEM...
      1980  Minoura, Toshimi                    RESILIENT EXTENDED TRUE-COPY...
      1980  El-Masri, Ramez                     ON THE DESIGN, USE, AND...
      1980  Shaw, David Eliot                   KNOWLEDGE-BASED RETRIEVAL ON...
      1981  King, Jonathan Jay                  QUERY OPTIMIZATION BY...
      1981  Blum, Robert L.                     DISCOVERY AND REPRESENTATION...
      1982  Gilbert, Erik J.                    ALGORITHM PARTITIONING TOOLS...
      1983  Davidson, Jim E.                    INTERPRETING NATURAL...
      1983  Whang, Kyu Young                    A PHYSICAL DESIGN...
      1983  Brinkley, James F.                  ULTRASONIC THREE-DIMENSIONAL...
      1983  Rowe, Neil Charles                  RULE-BASED STATISTICAL...
      1984  Kortas, Ricardo G.                  THE EFFECTIVE ST-SEGMENT: A...
      1985  Keller, Arthur M.                   UPDATING DATABASES THROUGH...
      1987  Winslett, Marianne                  UPDATING LOGICAL DATABASES
      1987  Koo, CharLin                        A DISTRIBUTED MODEL FOR...
      1987  Pednault, Edwin Peter Dawson        A THEORY OF CLASSICAL...
      1989  Qian, XioaLei                       CONSTRAINT-BASED SYNTHESIS...
      1989  Swami, Arun                         OPTIMIZATION OF LARGE JOIN...
      1989  Linda deMichiel                     THE SEMANTIC MEDIATION OF...
      1990  Barsalou, Thierry                   VIEW OBJECTS FOR RELATIONAL...
      1990  Rathmann, Peter Karl                NONMONOTONIC SEMANTICS FOR...
      1990  Rathman, Peter                      NONMONOTONIC SEMANTICS FOR...
      1990  Lee, Byung Suk                      EFFICIENTLY INSTANTIATING...
Simmons, Robert Francis
   1976  Novak, Gordon S. Jr.                   COMPUTER UNDERSTANDING OF...
      1989  Bulko, William Charles              UNDERSTANDING COREFERENCE IN...
      1992  Lee, Xiang-Seng                     TEMPORAL AND SPATIAL...
      1993  Chang, Ruey-Juin                    CLICHE-BASED MODELING FOR...
   1980  Amsler, Robert A.                      THE STRUCTURE OF THE...
   1982  Smith, Howard R.                       A GRAMMATICAL INFERENCE...
      1991  Papa, Frank Joseph                  TEST OF THE GENERALIZABILITY...
   1990  Rim, Hae-Chang                         COMPUTING OUTLINES FROM...
   1990  Higinbotham, Dan Walter                SEE CO-ADV WALL, ROBERT E.
   1990  Yu, Yeong-Ho                           UNDERSTANDING TEXT WITH...
   1991  Petrie, Charles Joseph, Jr.            PLANNING AND REPLANNING WITH...
Woods, William A.
   1977  Brachman, Ronald J.                    A STRUCTURAL PARADIGM FOR...
Marr, David C.
   1978  Nishihara, H. Keith                    REPRESENTATION OF THE...
   1980  Grimson, W. Eric L.                    COMPUTING SHAPE USING A...
      1987  Gennert, Michael A.                 SEE CO-ADV HORN, BERTHOLD K.P.
      1988  Stewart, W. Kenneth                 MULTISENSOR MODELING...
      1993  Wells, William Mercer, III          STATISTICAL OBJECT RECOGNITION 
Sweeney, James L.
   1978  Marks, Robert E.                       NONRENEWABLE RESOURCES AND...
Trabasso, Tom
   1979  Omanson, Richard C.                    THE NARRATIVE ANALYSIS
Sussman, Gerald Jay
   1979  Kleer, Johan de                        CAUSAL AND TELEOLOGICAL...
   1986  Weise, Daniel                          FORMAL MULTILEVEL...
   1992  Zhao, Feng                             SEE CO-ADV ABELSON, HAROLD
Demers, Alan
   1979  Bates, Joseph                          A LOGIC FOR CORRECT PROGRAM...
Specht, H.J.
   1979  Maenner, Reinhard                      GOD - EIN FLEXIBLES...
Metcalfe, Robert
   1979  Shoch, John                            SEE CO-ADV WIEDERHOLD, GIO
Hewitt, Carl
   1979  Kahn, Kenneth M.                       THE CREATION OF COMPUTER...
Buchanan, Bruce G.
   1979  Clancey, William J.                    TRANSFER OF RULE-BASED...
   1984  Dietterich, Thomas G.                  CONSTRAINT PROPAGATION...
   1989  Hirsh, Haym                            INCREMENTAL VERSION-SPACE...
   1990  Schoen, Eric Jonathan                  INTELLIGENT ASSISTANCE FOR...
   1992  Provost, Foster John                   POLICIES FOR THE SELECTION...
Owicki, Susan
   1980  Minoura, Toshimi                       SEE CO-ADV WIEDERHOLD, GIO
Chandrasekaran, B.
   1980  Flinchbaugh, Bruce E.                  A COMPUTATIONAL THEORY OF...
   1980  Mittal, Sanjay                         DESIGN OF A DISTRIBUTED...
   1989  Keuneke, Anne Marie                    MACHINE UNDERSTANDING OF...
   1989  Punch, William Francis, III            A DIAGNOSIS SYSTEM USING A...
   1989  Tanner, Michael Clay                   EXPLAINING KNOWLEDGE...
   1989  Goel, Ashok Kumar                      INTEGRATION OF CASE-BASED...
   1992  Herman, David Joseph                   AN EXTENSIBLE, TASK-SPECIFIC...
   1992  Fox, Richard Keith                     LAYERED ABDUCTION FOR SPEECH...
   1992  Narayanan, N. Hari                     IMAGERY, DIAGRAMS AND REASONING
Penrose, Roger
   1980  Ginsberg, Matthew L.                   A COHOMOLOGICAL APPROACH TO...
      1993  Darwiche, Adnan Youssef             A SYMBOLIC GENERALIZATION OF...
Waltz, David L.
   1980  Finin, Timothy W.                      THE SEMANTIC INTERPRETATION...
      1988  Kass, Robert John                   ACQUIRING A MODEL OF THE...
      1989  Klein, David A.                     SEE CO-ADV SHORTLIFFE, TED
   1991  Sun, Ron                               INTEGRATING RULES AND...

Richard K. Belew                         rik@cs.ucsd.edu

Computer Science & Engr. Dept.           619 / 534-2601
Univ. California -- San Diego            619 / 534-5288 (msgs)
9500 Gilman Dr. (0114)                   619 / 534-7029 (fax)
La Jolla, CA 92093-0114

------------------------------

End of VISION-LIST digest 13.3
************************
