Analysis of MHT and GBT Approaches to Disparate-Sensor Fusion - Craig Carthel; Jordan LeNoach; Stefano Coraluppi; Alan S. Willsky; Brandon Bale (IEEE 23rd International Conference on Information Fusion, FUSION 2020, Rustenburg, South Africa, July 6-9, 2020, 2020)

Graph-Based Tracking with Uncertain ID Measurement Associations - Stefano P. Coraluppi; Craig A. Carthel; Alan S. Willsky (22th International Conference on Information Fusion, FUSION 2019, Ottawa, ON, Canada, July 2-5, 2019, 2019)

Multi-Sensor tracking of move-stop-move targets - Stefano P. Coraluppi; Craig A. Carthel; Alan S. Willsky (Sensor Data Fusion: Trends, Solutions, Applications, SDF 2017, Bonn, Germany, October 10-12, 2017, 2017)

New graph-based and MCMC approaches to multi-INT surveillance - Stefano Coraluppi; Craig Carthel; William Kreamer; Alan S. Willsky (19th International Conference on Information Fusion, FUSION 2016, Heidelberg, Germany, July 5-8, 2016, 2016)

Semidefinite Descriptions of the Convex Hull of Rotation Matrices - James Saunderson; Pablo A. Parrilo; Alan S. Willsky (SIAM J. Optim., 2015)

Sampling From Gaussian Markov Random Fields Using Stationary and Non-Stationary Subgraph Perturbations - Ying Liu; Oliver Kosut; Alan S. Willsky (IEEE Trans. Signal Process., 2015)

MCMC and MHT Approaches to Multi-INT surveillance - Stefano Coraluppi; Craig Carthel; William Kreamer; Alan S. Willsky (18th International Conference on Information Fusion, FUSION 2015, Washington, DC, USA, July 6-9, 2015, 2015)

Sparsity-Driven Synthetic Aperture Radar Imaging: Reconstruction, autofocusing, moving targets, and compressed sensing - Müjdat Çetin; Ivana Stojanovic; N. Özben Önhon; Kush R. Varshney; Sadegh Samadi; William Clement Karl; Alan S. Willsky (IEEE Signal Process. Mag., 2014)

Semidefinite relaxations for optimization problems over rotation matrices - James Saunderson; Pablo A. Parrilo; Alan S. Willsky (53rd IEEE Conference on Decision and Control, CDC 2014, Los Angeles, CA, USA, December 15-17, 2014, 2014)

Stochastic Variational Inference for Bayesian Time Series Models - Matthew James Johnson; Alan S. Willsky (Proceedings of the 31th International Conference on Machine Learning, ICML 2014, Beijing, China, 21-26 June 2014, 2014)

Bayesian nonparametric hidden semi-Markov models - Matthew J. Johnson; Alan S. Willsky (J. Mach. Learn. Res., 2013)

Diagonal and low-rank decompositions and fitting ellipsoids to random points - James Saunderson; Pablo A. Parrilo; Alan S. Willsky (Proceedings of the 52nd IEEE Conference on Decision and Control, CDC 2013, Florence, Italy, December 10-13, 2013, 2013)

Recursive FMP for distributed inference in Gaussian graphical models - Ying Liu; Alan S. Willsky (Proceedings of the 2013 IEEE International Symposium on Information Theory, Istanbul, Turkey, July 7-12, 2013, 2013)

Sampling from Gaussian graphical models using subgraph perturbations - Ying Liu; Oliver Kosut; Alan S. Willsky (Proceedings of the 2013 IEEE International Symposium on Information Theory, Istanbul, Turkey, July 7-12, 2013, 2013)

Learning Gaussian Graphical Models with Observed or Latent FVSs - Ying Liu; Alan S. Willsky (Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States, 2013)

Analyzing Hogwild Parallel Gaussian Gibbs Sampling - Matthew J. Johnson; James Saunderson; Alan S. Willsky (Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States, 2013)

A New Class of Upper Bounds on the Log Partition Function - Martin J. Wainwright; Tommi S. Jaakkola; Alan S. Willsky (CoRR, 2013)

Learning Gaussian Graphical Models with Observed or Latent FVSs - Ying Liu; Alan S. Willsky (CoRR, 2013)

The Convex Geometry of Linear Inverse Problems - Venkat Chandrasekaran; Benjamin Recht; Pablo A. Parrilo; Alan S. Willsky (Found. Comput. Math., 2012)

High-dimensional Gaussian graphical model selection: walk summability and local separation criterion - Animashree Anandkumar; Vincent Y. F. Tan; Furong Huang; Alan S. Willsky (J. Mach. Learn. Res., 2012)

A Tree-Based Context Model for Object Recognition - Myung Jin Choi; Antonio Torralba; Alan S. Willsky (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Context models and out-of-context objects - Myung Jin Choi; Antonio Torralba; Alan S. Willsky (Pattern Recognit. Lett., 2012)

Diagonal and Low-Rank Matrix Decompositions, Correlation Matrices, and Ellipsoid Fitting - James Saunderson; Venkat Chandrasekaran; Pablo A. Parrilo; Alan S. Willsky (SIAM J. Matrix Anal. Appl., 2012)

Convex Graph Invariants - Venkat Chandrasekaran; Pablo A. Parrilo; Alan S. Willsky (SIAM Rev., 2012)

Feedback Message Passing for Inference in Gaussian Graphical Models - Ying Liu; Venkat Chandrasekaran; Animashree Anandkumar; Alan S. Willsky (IEEE Trans. Signal Process., 2012)

Convex graph invariants - Venkat Chandrasekaran; Pablo A. Parrilo; Alan S. Willsky (46th Annual Conference on Information Sciences and Systems, CISS 2012, Princeton, NJ, USA, March 21-23, 2012, 2012)

The Hierarchical Dirichlet Process Hidden Semi-Markov Model - Matthew J. Johnson; Alan S. Willsky (CoRR, 2012)

Rejoinder: Latent variable graphical model selection via convex optimization - Venkat Chandrasekaran; Pablo A. Parrilo; Alan S. Willsky (CoRR, 2012)

Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates - Vincent Y. F. Tan; Animashree Anandkumar; Alan S. Willsky (J. Mach. Learn. Res., 2011)

Learning Latent Tree Graphical Models - Myung Jin Choi; Vincent Y. F. Tan; Animashree Anandkumar; Alan S. Willsky (J. Mach. Learn. Res., 2011)

Rank-Sparsity Incoherence for Matrix Decomposition - Venkat Chandrasekaran; Sujay Sanghavi; Pablo A. Parrilo; Alan S. Willsky (SIAM J. Optim., 2011)

A Large-Deviation Analysis of the Maximum-Likelihood Learning of Markov Tree Structures - Vincent Y. F. Tan; Animashree Anandkumar; Lang Tong; Alan S. Willsky (IEEE Trans. Inf. Theory, 2011)

Belief Propagation and LP Relaxation for Weighted Matching in General Graphs - Sujay Sanghavi; Dmitry M. Malioutov; Alan S. Willsky (IEEE Trans. Inf. Theory, 2011)

Bayesian Nonparametric Inference of Switching Dynamic Linear Models - Emily B. Fox; Erik B. Sudderth; Michael I. Jordan; Alan S. Willsky (IEEE Trans. Signal Process., 2011)

Linear Dimensionality Reduction for Margin-Based Classification: High-Dimensional Data and Sensor Networks - Kush R. Varshney; Alan S. Willsky (IEEE Trans. Signal Process., 2011)

Sample complexity for topology estimation in networks of LTI systems - Vincent Y. F. Tan; Alan S. Willsky (50th IEEE Conference on Decision and Control and European Control Conference, 11th European Control Conference, CDC/ECC 2011, Orlando, FL, USA, December 12-15, 2011, 2011)

Tree-structured statistical modeling via convex optimization - James Saunderson; Venkat Chandrasekaran; Pablo A. Parrilo; Alan S. Willsky (50th IEEE Conference on Decision and Control and European Control Conference, 11th European Control Conference, CDC/ECC 2011, Orlando, FL, USA, December 12-15, 2011, 2011)

Energy-latency tradeoff for in-network function computation in random networks - Paul Balister; Béla Bollobás; Animashree Anandkumar; Alan S. Willsky (INFOCOM 2011. 30th IEEE International Conference on Computer Communications, Joint Conference of the IEEE Computer and Communications Societies, 10-15 April 2011, Shanghai, China, 2011)

High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions - Animashree Anandkumar; Vincent Y. F. Tan; Alan S. Willsky (Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, Granada, Spain, 2011)

Energy-Latency Tradeoff for In-Network Function Computation in Random Networks - Paul N. Balister; Béla Bollobás; Animashree Anandkumar; Alan S. Willsky (CoRR, 2011)

Feedback Message Passing for Inference in Gaussian Graphical Models - Ying Liu; Venkat Chandrasekaran; Animashree Anandkumar; Alan S. Willsky (CoRR, 2011)

High-Dimensional Gaussian Graphical Model Selection: Tractable Graph Families - Animashree Anandkumar; Vincent Y. F. Tan; Alan S. Willsky (CoRR, 2011)

High-Dimensional Structure Estimation in Ising Models: Tractable Graph Families - Animashree Anandkumar; Vincent Y. F. Tan; Furong Huang; Alan S. Willsky (CoRR, 2011)

Nonparametric belief propagation - Erik B. Sudderth; Alexander T. Ihler; Michael Isard; William T. Freeman; Alan S. Willsky (Commun. ACM, 2010)

Classification Using Geometric Level Sets - Kush R. Varshney; Alan S. Willsky (J. Mach. Learn. Res., 2010)

Sequential Compressed Sensing - Dmitry M. Malioutov; Sujay Sanghavi; Alan S. Willsky (IEEE J. Sel. Top. Signal Process., 2010)

Paths Ahead in the Science of Information and Decision Systems [In the Spotlight] - Alan S. Willsky (IEEE Signal Process. Mag., 2010)

Bayesian Nonparametric Methods for Learning Markov Switching Processes - Emily B. Fox; Erik B. Sudderth; Michael I. Jordan; Alan S. Willsky (IEEE Signal Process. Mag., 2010)

An Efficient Message-Passing Algorithm for Optimizing Decentralized Detection Networks - O. Patrick Kreidl; Alan S. Willsky (IEEE Trans. Autom. Control., 2010)

Gaussian multiresolution models: exploiting sparse Markov and covariance structure - Myung Jin Choi; Venkat Chandrasekaran; Alan S. Willsky (IEEE Trans. Signal Process., 2010)

Learning Gaussian tree models: analysis of error exponents and extremal structures - Vincent Y. F. Tan; Animashree Anandkumar; Alan S. Willsky (IEEE Trans. Signal Process., 2010)

Learning graphical models for hypothesis testing and classification - Vincent Y. F. Tan; Sujay Sanghavi; John W. Fisher III; Alan S. Willsky (IEEE Trans. Signal Process., 2010)

The Convex algebraic geometry of linear inverse problems - Venkat Chandrasekaran; Benjamin Recht; Pablo A. Parrilo; Alan S. Willsky (48th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2010, Monticello, IL, USA, September 29 - October 1, 2020, 2010)

Scaling laws for learning high-dimensional Markov forest distributions - Vincent Y. F. Tan; Animashree Anandkumar; Alan S. Willsky (48th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2010, Monticello, IL, USA, September 29 - October 1, 2020, 2010)

Consistent and efficient reconstruction of latent tree models - Myung Jin Choi; Vincent Y. F. Tan; Animashree Anandkumar; Alan S. Willsky (48th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2010, Monticello, IL, USA, September 29 - October 1, 2020, 2010)

Latent variable graphical model selection via convex optimization - Venkat Chandrasekaran; Pablo A. Parrilo; Alan S. Willsky (48th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2010, Monticello, IL, USA, September 29 - October 1, 2020, 2010)

Exploiting hierarchical context on a large database of object categories - Myung Jin Choi; Joseph J. Lim; Antonio Torralba; Alan S. Willsky (The Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2010, San Francisco, CA, USA, 13-18 June 2010, 2010)

Necessary and sufficient conditions for high-dimensional salient feature subset recovery - Vincent Y. F. Tan; Matthew J. Johnson; Alan S. Willsky (IEEE International Symposium on Information Theory, ISIT 2010, June 13-18, 2010, Austin, Texas, USA, Proceedings, 2010)

Error exponents for composite hypothesis testing of Markov forest distributions - Vincent Y. F. Tan; Animashree Anandkumar; Alan S. Willsky (IEEE International Symposium on Information Theory, ISIT 2010, June 13-18, 2010, Austin, Texas, USA, Proceedings, 2010)

Feedback message passing for inference in gaussian graphical models - Ying Liu; Venkat Chandrasekaran; Animashree Anandkumar; Alan S. Willsky (IEEE International Symposium on Information Theory, ISIT 2010, June 13-18, 2010, Austin, Texas, USA, Proceedings, 2010)

Limit laws for random spatial graphical models - Animashree Anandkumar; Joseph E. Yukich; Alan S. Willsky (IEEE International Symposium on Information Theory, ISIT 2010, June 13-18, 2010, Austin, Texas, USA, Proceedings, 2010)

The Hierarchical Dirichlet Process Hidden Semi-Markov Model - Matthew J. Johnson; Alan S. Willsky (UAI 2010, Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence, Catalina Island, CA, USA, July 8-11, 2010, 2010)

Sequential Compressed Sensing - Dmitry M. Malioutov; Sujay Sanghavi; Alan S. Willsky (CoRR, 2010)

Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates - Vincent Y. F. Tan; Animashree Anandkumar; Alan S. Willsky (CoRR, 2010)

Learning Latent Tree Graphical Models - Myung Jin Choi; Vincent Y. F. Tan; Animashree Anandkumar; Alan S. Willsky (CoRR, 2010)

Convex Graph Invariants - Venkat Chandrasekaran; Pablo A. Parrilo; Alan S. Willsky (CoRR, 2010)

Message passing for maximum weight independent set - Sujay Sanghavi; Devavrat Shah; Alan S. Willsky (IEEE Trans. Inf. Theory, 2009)

Message quantization in belief propagation: Structural results in the low-rate regime - O. Patrick Kreidl; Alan S. Willsky (47th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2009, Monticello, IL, USA, September 30 - October 2, 2009, 2009)

How do the structure and the parameters of Gaussian tree models affect structure learning? - Vincent Y. F. Tan; Animashree Anandkumar; Alan S. Willsky (47th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2009, Monticello, IL, USA, September 30 - October 2, 2009, 2009)

Sparse and low-rank matrix decompositions - Venkat Chandrasekaran; Sujay Sanghavi; Pablo A. Parrilo; Alan S. Willsky (47th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2009, Monticello, IL, USA, September 30 - October 2, 2009, 2009)

An efficient message passing algorithm for multi-target tracking - Zhexu Chen; Lei Chen; Müjdat Çetin; Alan S. Willsky (12th International Conference on Information Fusion, FUSION '09, Seattle, Washington, USA, July 6-9, 2009, 2009)

Learning dimensionality-reduced classifiers for information fusion - Kush R. Varshney; Alan S. Willsky (12th International Conference on Information Fusion, FUSION '09, Seattle, Washington, USA, July 6-9, 2009, 2009)

Lessons learned in the creation of a data set for hard/soft information fusion - Marco A. Pravia; Olga Babko-Malaya; Michael K. Schneider; James V. White; Chee-Yee Chong; Alan S. Willsky (12th International Conference on Information Fusion, FUSION '09, Seattle, Washington, USA, July 6-9, 2009, 2009)

Exploiting sparse Markov and covariance structure in multiresolution models - Myung Jin Choi; Venkat Chandrasekaran; Alan S. Willsky (Proceedings of the 26th Annual International Conference on Machine Learning, ICML 2009, Montreal, Quebec, Canada, June 14-18, 2009, 2009)

A large-deviation analysis for the maximum likelihood learning of tree structures - Vincent Y. F. Tan; Animashree Anandkumar; Lang Tong; Alan S. Willsky (IEEE International Symposium on Information Theory, ISIT 2009, June 28 - July 3, 2009, Seoul, Korea, Proceedings, 2009)

Detection error exponent for spatially dependent samples in random networks - Animashree Anandkumar; Alan S. Willsky; Lang Tong (IEEE International Symposium on Information Theory, ISIT 2009, June 28 - July 3, 2009, Seoul, Korea, Proceedings, 2009)

Sharing Features among Dynamical Systems with Beta Processes - Emily B. Fox; Erik B. Sudderth; Michael I. Jordan; Alan S. Willsky (Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, Vancouver, British Columbia, Canada, 2009)

A Large-Deviation Analysis of the Maximum-Likelihood Learning of Markov Tree Structures - Vincent Y. F. Tan; Animashree Anandkumar; Lang Tong; Alan S. Willsky (CoRR, 2009)

Learning Gaussian Tree Models: Analysis of Error Exponents and Extremal Structures - Vincent Y. F. Tan; Animashree Anandkumar; Alan S. Willsky (CoRR, 2009)

Describing Visual Scenes Using Transformed Objects and Parts - Erik B. Sudderth; Antonio Torralba; William T. Freeman; Alan S. Willsky (Int. J. Comput. Vis., 2008)

A Recursive Model-Reduction Method for Approximate Inference in Gaussian Markov Random Fields - Jason K. Johnson; Alan S. Willsky (IEEE Trans. Image Process., 2008)

Learning the Dynamics and Time-Recursive Boundary Detection of Deformable Objects - Walter Sun; Müjdat Çetin; Raymond C. Chan; Alan S. Willsky (IEEE Trans. Image Process., 2008)

Estimation in Gaussian Graphical Models Using Tractable Subgraphs: A Walk-Sum Analysis - Venkat Chandrasekaran; Jason K. Johnson; Alan S. Willsky (IEEE Trans. Signal Process., 2008)

Sparse Representation in Structured Dictionaries With Application to Synthetic Aperture Radar - Kush R. Varshney; Müjdat Çetin; John W. Fisher III; Alan S. Willsky (IEEE Trans. Signal Process., 2008)

Low-Rank Variance Approximation in GMRF Models: Single and Multiscale Approaches - Dmitry M. Malioutov; Jason K. Johnson; Myung Jin Choi; Alan S. Willsky (IEEE Trans. Signal Process., 2008)

Decentralized detection with long-distance communication - O. Patrick Kreidl; Alan S. Willsky (42nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2008, Pacific Grove, CA, USA, October 26-29, 2008, 2008)

Networking sensors using belief propagation - Sujay Sanghavi; Dmitry Malioutov; Alan S. Willsky (46th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2008, Monticello, IL, USA, September 24-26, 2008, 2008)

MCMC curve sampling and geometric conditional simulation - Ayres C. Fan; John W. Fisher III; Jonathan Kane; Alan S. Willsky (Computational Imaging VI, part of the IS&T-SPIE Electronic Imaging Symposium, San Jose, CA, USA, January 28-29, 2008, Proceedings, 2008)

Learning max-weight discriminative forests - Vincent Y. F. Tan; John W. Fisher III; Alan S. Willsky (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2008, March 30 - April 4, 2008, Caesars Palace, Las Vegas, Nevada, USA, 2008)

Maximum entropy relaxation for multiscale graphical model selection - Myung Jin Choi; Venkat Chandrasekaran; Alan S. Willsky (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2008, March 30 - April 4, 2008, Caesars Palace, Las Vegas, Nevada, USA, 2008)

Compressed sensing with sequential observations - Dmitry M. Malioutov; Sujay Sanghavi; Alan S. Willsky (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2008, March 30 - April 4, 2008, Caesars Palace, Las Vegas, Nevada, USA, 2008)

An HDP-HMM for systems with state persistence - Emily B. Fox; Erik B. Sudderth; Michael I. Jordan; Alan S. Willsky (Machine Learning, Proceedings of the Twenty-Fifth International Conference (ICML 2008), Helsinki, Finland, June 5-9, 2008, 2008)

Segmentation of the evolving left ventricle by learning the dynamics - Walter Sun; Müjdat Çetin; Raymond C. Chan; Alan S. Willsky (Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Paris, France, May 14-17, 2008, 2008)

Nonparametric Bayesian Learning of Switching Linear Dynamical Systems - Emily B. Fox; Erik B. Sudderth; Michael I. Jordan; Alan S. Willsky (Advances in Neural Information Processing Systems 21, Proceedings of the Twenty-Second Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 8-11, 2008, 2008)

Message-passing for Maximum Weight Independent Set - Sujay Sanghavi; Devavrat Shah; Alan S. Willsky (CoRR, 2008)

Nonparametric shape priors for active contour-based image segmentation - Junmo Kim; Müjdat Çetin; Alan S. Willsky (Signal Process., 2007)

Detection and Localization of Material Releases With Sparse Sensor Configurations - Emily B. Fox; John W. Fisher III; Alan S. Willsky (IEEE Trans. Signal Process., 2007)

Fiber Tract Clustering on Manifolds With Dual Rooted-Graphs - Andy Tsai; Carl-Fredrik Westin; Alfred O. Hero III; Alan S. Willsky (2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 18-23 June 2007, Minneapolis, Minnesota, USA, 2007)

Integrated fusion, performance prediction, and sensor management for automatic target exploitation AFOSR MURI - Erik Blasch; Randolph L. Moses; David A. Castañón; Alan S. Willsky; Alfred O. Hero III (10th International Conference on Information Fusion, FUSION 2007, Québec, Canada, July 9-12, 2007, 2007)

Hierarchical Dirichlet processes for tracking maneuvering targets - Emily B. Fox; Erik B. Sudderth; Alan S. Willsky (10th International Conference on Information Fusion, FUSION 2007, Québec, Canada, July 9-12, 2007, 2007)

Performance Guarantees for Information Theoretic Sensor Resource Management - Jason L. Williams; John W. Fisher III; Alan S. Willsky (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2007, Honolulu, Hawaii, USA, April 15-20, 2007, 2007)

GMRF Variance Approximation using Splicedwavelet Bases - Dmitry M. Malioutov; Jason K. Johnson; Alan S. Willsky (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2007, Honolulu, Hawaii, USA, April 15-20, 2007, 2007)

MCMC Curve Sampling for Image Segmentation - Ayres C. Fan; John W. Fisher III; William M. Wells III; James J. Levitt; Alan S. Willsky (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29 - November 2, 2007, Proceedings, Part II, 2007)

Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis - Venkat Chandrasekaran; Jason K. Johnson; Alan S. Willsky (Advances in Neural Information Processing Systems 20, Proceedings of the Twenty-First Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 3-6, 2007, 2007)

Linear programming analysis of loopy belief propagation for weighted matching - Sujay Sanghavi; Dmitry M. Malioutov; Alan S. Willsky (Advances in Neural Information Processing Systems 20, Proceedings of the Twenty-First Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 3-6, 2007, 2007)

Message Passing for Max-weight Independent Set - Sujay Sanghavi; Devavrat Shah; Alan S. Willsky (Advances in Neural Information Processing Systems 20, Proceedings of the Twenty-First Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 3-6, 2007, 2007)

Loop Series and Bethe Variational Bounds in Attractive Graphical Models - Erik B. Sudderth; Martin J. Wainwright; Alan S. Willsky (Advances in Neural Information Processing Systems 20, Proceedings of the Twenty-First Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 3-6, 2007, 2007)

Learning Markov Structure by Maximum Entropy Relaxation - Jason K. Johnson; Venkat Chandrasekaran; Alan S. Willsky (Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, AISTATS 2007, San Juan, Puerto Rico, March 21-24, 2007, 2007)

Performance Guarantees for Information Theoretic Active Inference - Jason L. Williams; John W. Fisher III; Alan S. Willsky (Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, AISTATS 2007, San Juan, Puerto Rico, March 21-24, 2007, 2007)

Lagrangian Relaxation for MAP Estimation in Graphical Models - Jason K. Johnson; Dmitry M. Malioutov; Alan S. Willsky (CoRR, 2007)

Walk-Sums and Belief Propagation in Gaussian Graphical Models - Dmitry M. Malioutov; Jason K. Johnson; Alan S. Willsky (J. Mach. Learn. Res., 2006)

Data association based on optimization in graphical models with application to sensor networks - Lei Chen; Martin J. Wainwright; Müjdat Çetin; Alan S. Willsky (Math. Comput. Model., 2006)

A State-Space Analysis for Reconstruction of Goal-Directed Movements Using Neural Signals - Lakshminarayan Srinivasan; Uri T. Eden; Alan S. Willsky; Emery N. Brown (Neural Comput., 2006)

Distributed fusion in sensor networks - Müjdat Çetin; Lei Chen; John W. Fisher III; Alexander T. Ihler; Randolph L. Moses; Martin J. Wainwright; Alan S. Willsky (IEEE Signal Process. Mag., 2006)

Variational approaches on discontinuity localization and field estimation in sea surface temperature and soil moisture - Walter Sun; Müjdat Çetin; W. Carlisle Thacker; Toshio Mike Chin; Alan S. Willsky (IEEE Trans. Geosci. Remote. Sens., 2006)

Importance sampling actor-critic algorithms - Jason L. Williams; John W. Fisher III; Alan S. Willsky (American Control Conference, ACC 2006, Minneapolis, MN, USA, 14-16 June, 2006, 2006)

An Efficient Message-Passing Algorithm for Optimizing Decentralized Detection Networks - O. Patrick Kreidl; Alan S. Willsky (45th IEEE Conference on Decision and Control, CDC 2006, San Diego, CA, USA, December 13-15, 2006, 2006)

Depth from Familiar Objects: A Hierarchical Model for 3D Scenes - Erik B. Sudderth; Antonio Torralba; William T. Freeman; Alan S. Willsky (2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 17-22 June 2006, New York, NY, USA, 2006)

Low-Rank Variance Estimation in Large-Scale Gmrf Models - Dmitry M. Malioutov; Jason K. Johnson; Alan S. Willsky (2006 IEEE International Conference on Acoustics Speech and Signal Processing, ICASSP 2006, Toulouse, France, May 14-19, 2006, 2006)

Detection and Localization of Material Releases with Sparse Sensor Configurations - Emily B. Fox; Jason L. Williams; John W. Fisher III; Alan S. Willsky (2006 IEEE International Conference on Acoustics Speech and Signal Processing, ICASSP 2006, Toulouse, France, May 14-19, 2006, 2006)

A multiscale approach to pixel-level image fusion - A. Ben Hamza; Yun He; Hamid Krim; Alan S. Willsky (Integr. Comput. Aided Eng., 2005)

Loopy Belief Propagation: Convergence and Effects of Message Errors - Alexander T. Ihler; John W. Fisher III; Alan S. Willsky (J. Mach. Learn. Res., 2005)

Nonparametric belief propagation for self-localization of sensor networks - Alexander T. Ihler; John W. Fisher III; Randolph L. Moses; Alan S. Willsky (IEEE J. Sel. Areas Commun., 2005)

An EM algorithm for shape classification based on level sets - Andy Tsai; William M. Wells III; Simon K. Warfield; Alan S. Willsky (Medical Image Anal., 2005)

A Nonparametric Statistical Method for Image Segmentation Using Information Theory and Curve Evolution - Junmo Kim; John W. Fisher III; Anthony J. Yezzi; Müjdat Çetin; Alan S. Willsky (IEEE Trans. Image Process., 2005)

A new class of upper bounds on the log partition function - Martin J. Wainwright; Tommi S. Jaakkola; Alan S. Willsky (IEEE Trans. Inf. Theory, 2005)

MAP estimation via agreement on trees: message-passing and linear programming - Martin J. Wainwright; Tommi S. Jaakkola; Alan S. Willsky (IEEE Trans. Inf. Theory, 2005)

Nonlinear evolution equations as fast and exact solvers of estimation problems - Ilya Pollak; Alan S. Willsky; Yan Huang (IEEE Trans. Signal Process., 2005)

A sparse signal reconstruction perspective for source localization with sensor arrays - Dmitry M. Malioutov; Müjdat Çetin; Alan S. Willsky (IEEE Trans. Signal Process., 2005)

Nonparametric shape priors for active contour-based image segmentation - Junmo Kim; Müjdat Çetin; Alan S. Willsky (13th European Signal Processing Conference, EUSIPCO 2005, Antalya, Turkey, September 4-8, 2005, 2005)

Homotopy continuation for sparse signal representation - Dmitry M. Malioutov; Müjdat Çetin; Alan S. Willsky (2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05, Philadelphia, Pennsylvania, USA, March 18-23, 2005, 2005)

Optimization approaches to dynamic routing of measurements and models in a sensor network object tracking problem - Jason L. Williams; John W. Fisher III; Alan S. Willsky (2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05, Philadelphia, Pennsylvania, USA, March 18-23, 2005, 2005)

Estimating dependency and significance for high-dimensional data - Michael Siracusa; Kinh Tieu; Alexander T. Ihler; John W. Fisher III; Alan S. Willsky (2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05, Philadelphia, Pennsylvania, USA, March 18-23, 2005, 2005)

Learning Hierarchical Models of Scenes, Objects, and Parts - Erik B. Sudderth; Antonio Torralba; William T. Freeman; Alan S. Willsky (10th IEEE International Conference on Computer Vision (ICCV 2005), 17-20 October 2005, Beijing, China, 2005)

Segmenting and Tracking the Left Ventricle by Learning the Dynamics in Cardiac Images - Walter Sun; Müjdat Çetin; Raymond C. Chan; Vivek Y. Reddy; Godtfred Holmvang; Venkat Chandar; Alan S. Willsky (Information Processing in Medical Imaging, 19th International Conference, IPMI 2005, Glenwood Springs, CO, USA, July 10-15, 2005, Proceedings, 2005)

Walk-Sum Interpretation and Analysis of Gaussian Belief Propagation - Jason K. Johnson; Dmitry M. Malioutov; Alan S. Willsky (Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, NIPS 2005, December 5-8, 2005, Vancouver, British Columbia, Canada], 2005)

Inference with Minimal Communication: a Decision-Theoretic Variational Approach - O. Patrick Kreidl; Alan S. Willsky (Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, NIPS 2005, December 5-8, 2005, Vancouver, British Columbia, Canada], 2005)

Describing Visual Scenes using Transformed Dirichlet Processes - Erik B. Sudderth; Antonio Torralba; William T. Freeman; Alan S. Willsky (Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, NIPS 2005, December 5-8, 2005, Vancouver, British Columbia, Canada], 2005)

MAP estimation via agreement on (hyper)trees: Message-passing and linear programming - Martin J. Wainwright; Tommi S. Jaakkola; Alan S. Willsky (CoRR, 2005)

Mutual information in coupled multi-shape model for medical image segmentation - Andy Tsai; William M. Wells III; Clare M. Tempany; Eric Grimson; Alan S. Willsky (Medical Image Anal., 2004)

Tree consistency and bounds on the performance of the max-product algorithm and its generalizations - Martin J. Wainwright; Tommi S. Jaakkola; Alan S. Willsky (Stat. Comput., 2004)

Nonparametric hypothesis tests for statistical dependency - Alexander T. Ihler; John W. Fisher III; Alan S. Willsky (IEEE Trans. Signal Process., 2004)

Embedded trees: estimation of Gaussian Processes on graphs with cycles - Erik B. Sudderth; Martin J. Wainwright; Alan S. Willsky (IEEE Trans. Signal Process., 2004)

Visual Hand Tracking Using Nonparametric Belief Propagation - Erik B. Sudderth; Michael I. Mandel; William T. Freeman; Alan S. Willsky (IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2004, Washington, DC, USA, June 27 - July 2, 2004, 2004)

Optimal sparse representations in general overcomplete bases - Dmitry M. Malioutov; Müjdat Çetin; Alan S. Willsky (2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2004, Montreal, Quebec, Canada, May 17-21, 2004, 2004)

Nonparametric belief propagation for sensor self-calibration - Alexander T. Ihler; John W. Fisher III; Randolph L. Moses; Alan S. Willsky (2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2004, Montreal, Quebec, Canada, May 17-21, 2004, 2004)

Nonparametric belief propagation for self-calibration in sensor networks - Alexander T. Ihler; John W. Fisher III; Randolph L. Moses; Alan S. Willsky (Proceedings of the Third International Symposium on Information Processing in Sensor Networks, IPSN 2004, Berkeley, California, USA, April 26-27, 2004, 2004)

Level Set Methods in an EM Framework for Shape Classification and Estimation - Andy Tsai; William M. Wells III; Simon K. Warfield; Alan S. Willsky (Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004, 7th International Conference Saint-Malo, France, September 26-29, 2004, Proceedings, Part I, 2004)

Message Errors in Belief Propagation - Alexander T. Ihler; John W. Fisher III; Alan S. Willsky (Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, NIPS 2004, December 13-18, 2004, Vancouver, British Columbia, Canada], 2004)

Distributed Occlusion Reasoning for Tracking with Nonparametric Belief Propagation - Erik B. Sudderth; Michael I. Mandel; William T. Freeman; Alan S. Willsky (Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, NIPS 2004, December 13-18, 2004, Vancouver, British Columbia, Canada], 2004)

Detection and Analysis of Anisotropic Scattering in SAR Data - Andrew J. Kim; John W. Fisher III; Alan S. Willsky (Multidimens. Syst. Signal Process., 2003)

A Krylov Subspace Method for Covariance Approximation and Simulation of Random Processes and Fields - Michael K. Schneider; Alan S. Willsky (Multidimens. Syst. Signal Process., 2003)

A generalized Levinson algorithm for covariance extension with application to multiscale autoregressive modeling - Austin B. Frakt; Hanoch Lev-Ari; Alan S. Willsky (IEEE Trans. Inf. Theory, 2003)

Tree-based reparameterization framework for analysis of sum-product and related algorithms - Martin J. Wainwright; Tommi S. Jaakkola; Alan S. Willsky (IEEE Trans. Inf. Theory, 2003)

A Shape-Based Approach to the Segmentation of Medical Imagery Using Level Sets - Andy Tsai; Anthony J. Yezzi; William M. Wells III; Clare M. Tempany; Dewey Tucker; Ayres C. Fan; W. Eric L. Grimson; Alan S. Willsky (IEEE Trans. Medical Imaging, 2003)

Tree-reweighted belief propagation algorithms and approximate ML estimation by pseudo-moment matching - Martin J. Wainwright; Tommi S. Jaakkola; Alan S. Willsky (Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, AISTATS 2003, Key West, Florida, USA, January 3-6, 2003, 2003)

Nonparametric Belief Propagation - Erik B. Sudderth; Alexander T. Ihler; William T. Freeman; Alan S. Willsky (2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 16-22 June 2003, Madison, WI, USA, 2003)

Incorporating complex statistical information in active contour-based image segmentation - Junmo Kim; John W. Fisher III; Müjdat Çetin; Anthony J. Yezzi; Alan S. Willsky (Proceedings of the 2003 International Conference on Image Processing, ICIP 2003, Barcelona, Catalonia, Spain, September 14-18, 2003, 2003)

A Unified Variational Approach to Denoising and Bias Correction in MR - Ayres C. Fan; William M. Wells III; John W. Fisher III; Müjdat Çetin; Steven Haker; Robert V. Mulkern; Clare M. Tempany; Alan S. Willsky (Information Processing in Medical Imaging, 18th International Conference, IPMI 2003, Ambleside, UK, July 20-25, 2003, Proceedings, 2003)

Coupled Multi-shape Model and Mutual Information for Medical Image Segmentation - Andy Tsai; William M. Wells III; Clare M. Tempany; W. Eric L. Grimson; Alan S. Willsky (Information Processing in Medical Imaging, 18th International Conference, IPMI 2003, Ambleside, UK, July 20-25, 2003, Proceedings, 2003)

Hypothesis Testing over Factorizations for Data Association - Alexander T. Ihler; John W. Fisher III; Alan S. Willsky (Information Processing in Sensor Networks, Second International Workshop, IPSN 2003, Palo Alto, CA, USA, April 22-23, 2003, Proceedings, 2003)

Efficient Multiscale Sampling from Products of Gaussian Mixtures - Alexander T. Ihler; Erik B. Sudderth; William T. Freeman; Alan S. Willsky (Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, NIPS 2003, December 8-13, 2003, Vancouver and Whistler, British Columbia, Canada], 2003)

Statistical and Information-Theoretic Methods for Self-Organization and Fusion of Multimodal, Networked Sensors - John W. Fisher III; Martin J. Wainwright; Erik B. Sudderth; Alan S. Willsky (Int. J. High Perform. Comput. Appl., 2002)

A Fully Global Approach to Image Segmentation via Coupled Curve Evolution Equations - Anthony J. Yezzi Jr.; Andy Tsai; Alan S. Willsky (J. Vis. Commun. Image Represent., 2002)

Multiresolution Markov models for signal and image processing - Alan S. Willsky (Proc. IEEE, 2002)

A variational technique for source localization based on a sparse signal reconstruction perspective - Müjdat Çetin; Dmitry M. Malioutov; Alan S. Willsky (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2002, May 13-17 2002, Orlando, Florida, USA, 2002)

A curve evolution-based variational approach to simultaneous image restoration and segmentation - Junmo Kim; Andy Tsai; Müjdat Çetin; Alan S. Willsky (Proceedings of the 2002 International Conference on Image Processing, ICIP 2002, Rochester, New York, USA, September 22-25, 2002, 2002)

Edge-preserving image reconstruction for coherent imaging applications - Müjdat Çetin; William Clement Karl; Alan S. Willsky (Proceedings of the 2002 International Conference on Image Processing, ICIP 2002, Rochester, New York, USA, September 22-25, 2002, 2002)

Nonparametric methods for image segmentation using information theory and curve evolution - Junmo Kim; John W. Fisher III; Anthony J. Yezzi Jr.; Müjdat Çetin; Alan S. Willsky (Proceedings of the 2002 International Conference on Image Processing, ICIP 2002, Rochester, New York, USA, September 22-25, 2002, 2002)

Exact MAP Estimates by (Hyper)tree Agreement - Martin J. Wainwright; Tommi S. Jaakkola; Alan S. Willsky (Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, NIPS 2002, December 9-14, 2002, Vancouver, British Columbia, Canada], 2002)

A New Class of upper Bounds on the Log Partition Function - Martin J. Wainwright; Tommi S. Jaakkola; Alan S. Willsky (UAI '02, Proceedings of the 18th Conference in Uncertainty in Artificial Intelligence, University of Alberta, Edmonton, Alberta, Canada, August 1-4, 2002, 2002)

Computationally efficient steady-state multiscale estimation for 1-D diffusion processes - Terrence T. Ho; Paul W. Fieguth; Alan S. Willsky (Autom., 2001)

Computationally Efficient Stochastic Realization for Internal Multiscale Autoregressive Models - Austin B. Frakt; Alan S. Willsky (Multidimens. Syst. Signal Process., 2001)

Krylov Subspace Estimation - Michael K. Schneider; Alan S. Willsky (SIAM J. Sci. Comput., 2001)

A canonical correlations approach to multiscale stochastic realization - William W. Irving; Alan S. Willsky (IEEE Trans. Autom. Control., 2001)

Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification - Andy Tsai; Anthony J. Yezzi Jr.; Alan S. Willsky (IEEE Trans. Image Process., 2001)

Model-Based Curve Evolution Technique for Image Segmentation - Andy Tsai; Anthony J. Yezzi; William M. Wells III; Clare M. Tempany; Dewey Tucker; Ayres C. Fan; W. Eric L. Grimson; Alan S. Willsky (2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), with CD-ROM, 8-14 December 2001, Kauai, HI, USA, 2001)

Statistics of Real-World Illumination - Ron O. Dror; Thomas K. Leung; Edward H. Adelson; Alan S. Willsky (2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), with CD-ROM, 8-14 December 2001, Kauai, HI, USA, 2001)

Estimating surface reflectance properties from images under unknown illumination - Ron O. Dror; Edward H. Adelson; Alan S. Willsky (Human Vision and Electronic Imaging VI, San Jose, CA, USA, January 20, 2001, 2001)

Nonparametric estimators for online signature authentication - Alexander T. Ihler; John W. Fisher III; Alan S. Willsky (IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2001, 7-11 May, 2001, Salt Palace Convention Center, Salt Lake City, Utah, USA, Proceedings, 2001)

Tree-based reparameterization for approximate inference on loopy graphs - Martin J. Wainwright; Tommi S. Jaakkola; Alan S. Willsky (Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, NIPS 2001, December 3-8, 2001, Vancouver, British Columbia, Canada], 2001)

Image segmentation and edge enhancement with stabilized inverse diffusion equations - Ilya Pollak; Alan S. Willsky; Hamid Krim (IEEE Trans. Image Process., 2000)

Multiscale methods for the segmentation and reconstruction of signals and images - Michael K. Schneider; Paul W. Fieguth; William Clement Karl; Alan S. Willsky (IEEE Trans. Image Process., 2000)

A Curve Evolution Approach to Smoothing and Segmentation Using the Mumford-Shah Functional - Andy Tsai; Anthony J. Yezzi; Alan S. Willsky (2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 13-15 June 2000, Hilton Head, SC, USA, 2000)

Random Cascades of Gaussian Scale Mixtures and Their Use in Modeling Natural Images With Application to Denoising - Martin J. Wainwright; Eero P. Simoncelli; Alan S. Willsky (Proceedings of the 2000 International Conference on Image Processing, ICIP 2000, Vancouver, BC, Canada, September 10-13, 2000, 2000)

Curve Evolution, Boundary-Value Stochastic Processes, the Mumford-Shah Problem, and Missing Data Applications - Andy Tsai; Anthony J. Yezzi; Alan S. Willsky (Proceedings of the 2000 International Conference on Image Processing, ICIP 2000, Vancouver, BC, Canada, September 10-13, 2000, 2000)

Incorporating Spatial Priors into an Information Theoretic Approach for fMRI Data Analysis - Junmo Kim; John W. Fisher III; Andy Tsai; Cindy Wible; Alan S. Willsky; William M. Wells III (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2000, Third International Conference, Pittsburgh, Pennsylvania, USA, October 11-14, 2000, Proceedings, 2000)

A Curve Evolution Approach to Medical Image Magnification via the Mumford-Shah Functional - Andy Tsai; Anthony J. Yezzi; Alan S. Willsky (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2000, Third International Conference, Pittsburgh, Pennsylvania, USA, October 11-14, 2000, Proceedings, 2000)

Tree-Based Modeling and Estimation of Gaussian Processes on Graphs with Cycles - Martin J. Wainwright; Erik B. Sudderth; Alan S. Willsky (Advances in Neural Information Processing Systems 13, Papers from Neural Information Processing Systems (NIPS) 2000, Denver, CO, USA, 2000)

Silhouette recognition using high-resolution pursuit - Seema Jaggi; William Clement Karl; Stéphane Mallat; Alan S. Willsky (Pattern Recognit., 1999)

Multiscale Autoregressive Models and Wavelets - Khalid Daoudi; Austin B. Frakt; Alan S. Willsky (IEEE Trans. Inf. Theory, 1999)

The Modeling and Estimation of Statistically Self-Similar Processes in a Multiresolution Framework - Michael M. Daniel; Alan S. Willsky (IEEE Trans. Inf. Theory, 1999)

A Krylov subspace method for large estimation problems - Michael K. Schneider; Alan S. Willsky (Proceedings of the 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '99, Phoenix, Arizona, USA, March 15-19, 1999, 1999)

A nonlinear diffusion equation as a fast and optimal solver of edge detection problems - Ilya Pollak; Alan S. Willsky; Hamid Krim (Proceedings of the 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '99, Phoenix, Arizona, USA, March 15-19, 1999, 1999)

A Statistical Approach to Snakes for Bimodal and Trimodal Imagery - Anthony J. Yezzi; Andy Tsai; Alan S. Willsky (Proceedings of the International Conference on Computer Vision, Kerkyra, Corfu, Greece, September 20-25, 1999, 1999)

Binary and Ternary Flows for Image Segmentation - Anthony J. Yezzi; Andy Tsai; Alan S. Willsky (Proceedings of the 1999 International Conference on Image Processing, ICIP '99, Kobe, Japan, October 24-28, 1999, 1999)

Recursive Multiscale Estimation of Space-Time Random Fields - Terrence T. Ho; Paul W. Fieguth; Alan S. Willsky (Proceedings of the 1999 International Conference on Image Processing, ICIP '99, Kobe, Japan, October 24-28, 1999, 1999)

Analysis of Functional MRI Data Using Mutual Information - Andy Tsai; John W. Fisher III; Cindy Wible; William M. Wells III; Junmo Kim; Alan S. Willsky (Medical Image Computing and Computer-Assisted Intervention - MICCAI'99, Second International Conference, Cambridge, UK, September 19-22, 1999, Proceedings, 1999)

Efficient Multiresolution Counterparts to Variational Methods for Surface Reconstruction - Paul W. Fieguth; William Clement Karl; Alan S. Willsky (Comput. Vis. Image Underst., 1998)

A multiscale hypothesis testing approach to anomaly detection and localization from noisy tomographic data - Austin B. Frakt; William Clement Karl; Alan S. Willsky (IEEE Trans. Image Process., 1998)

Efficient multiscale stochastic realization - Austin B. Frakt; Alan S. Willsky (Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98, Seattle, Washington, USA, May 12-15, 1998, 1998)

An Estimation-Theoretic Technique for Motion-Compensated Synthetic-Aperture Array Imaging - Cedric L. Logan; Hamid Krim; Alan S. Willsky (Proceedings of the 1998 IEEE International Conference on Image Processing, ICIP-98, Chicago, Illinois, USA, October 4-7, 1998, 1998)

Stabilized Inverse Diffusion Equations and Segmentation of Vector-Valued Images - Ilya Pollak; Hamid Krim; Alan S. Willsky (Proceedings of the 1998 IEEE International Conference on Image Processing, ICIP-98, Chicago, Illinois, USA, October 4-7, 1998, 1998)

Computationally Efficient Multiscale Estimation of Large-Scale Dynamic Systems - Terrence T. Ho; Paul W. Fieguth; Alan S. Willsky (Proceedings of the 1998 IEEE International Conference on Image Processing, ICIP-98, Chicago, Illinois, USA, October 4-7, 1998, 1998)

Mobile agents in adaptive hierarchical Bayesian networks for global awareness - Kenneth N. Ross; Ronald D. Chaney; George V. Cybenko; Daniel J. Burroughs; Alan S. Willsky (Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, SMC 1998, Hyatt Regency La Jolla, San Diego, California, USA, October 11-14,1998, 1998)

A Statistical Method for Efficient Segmentation of MR Imagery - John P. Kaufhold; Michael K. Schneider; Alan S. Willsky; William Clement Karl (Int. J. Pattern Recognit. Artif. Intell., 1997)

Multiscale, Statistical Anomaly Detection Analysis and Algorithms for Linearized Inverse Scattering Problems - Eric L. Miller; Alan S. Willsky (Multidimens. Syst. Signal Process., 1997)

A multiresolution methodology for signal-level fusion and data assimilation with applications to remote sensing - Michael M. Daniel; Alan S. Willsky (Proc. IEEE, 1997)

Multiscale segmentation and anomaly enhancement of SAR imagery - Charles H. Fosgate; Hamid Krim; William W. Irving; William Clement Karl; Alan S. Willsky (IEEE Trans. Image Process., 1997)

Tomographic reconstruction and estimation based on multiscale natural-pixel bases - Mickey Bhatia; William Clement Karl; Alan S. Willsky (IEEE Trans. Image Process., 1997)

An overlapping tree approach to multiscale stochastic modeling and estimation - William W. Irving; Paul W. Fieguth; Alan S. Willsky (IEEE Trans. Image Process., 1997)

Low complexity optimal joint detection for oversaturated multiple access communications - Rachel E. Learned; Alan S. Willsky; Don M. Boroson (IEEE Trans. Signal Process., 1997)

Segmentation and Compression of SAR Imagery via Hierarchical Stochastic Modelling - Andrew J. Kim; Hamid Krim; Alan S. Willsky (Proceedings 1997 International Conference on Image Processing, ICIP '97, Santa Barbara, California, USA, October 26-29, 1997, 1997)

A Recursive Estimation Approach to the Segmentation of MR Imagery - John P. Kaufhold; Michael K. Schneider; William Clement Karl; Alan S. Willsky (Proceedings 1997 International Conference on Image Processing, ICIP '97, Santa Barbara, California, USA, October 26-29, 1997, 1997)

Scale Space Analysis by Stabilized Inverse Diffusion Equations - Ilya Pollak; Alan S. Willsky; Hamid Krim (Scale-Space Theory in Computer Vision, First International Conference, Scale-Space'97, Utrecht, The Netherlands, July 2-4, 1997, Proceedings, 1997)

Tomographic Reconstruction of Polygons from Knot Location and Chord Length Measurements - Lori Belcastro; William Clement Karl; Alan S. Willsky (CVGIP Graph. Model. Image Process., 1996)

Local tests for consistency of support hyperplane data - William Clement Karl; Sanjeev R. Kulkarni; George C. Verghese; Alan S. Willsky (J. Math. Imaging Vis., 1996)

A multiscale, statistically based inversion scheme for linearized inverse scattering problems - Eric Lawrence Miller; Alan S. Willsky (IEEE Trans. Geosci. Remote. Sens., 1996)

A moment-based variational approach to tomographic reconstruction - Peyman Milanfar; William Clement Karl; Alan S. Willsky (IEEE Trans. Image Process., 1996)

A wavelet-based method for multiscale tomographic reconstruction - Mickey Bhatia; William Clement Karl; Alan S. Willsky (IEEE Trans. Medical Imaging, 1996)

Fractal estimation using models on multiscale trees - Paul W. Fieguth; Alan S. Willsky (IEEE Trans. Signal Process., 1996)

Low complexity optimal multiple access joint detection for linearly dependent user sets - Rachel E. Learned; Alan S. Willsky (1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings, ICASSP '96, Atlanta, Georgia, USA, May 7-10, 1996, 1996)

Multiscale methods for the segmentation of images - Michael K. Schneider; Paul W. Fieguth; William Clement Karl; Alan S. Willsky (1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings, ICASSP '96, Atlanta, Georgia, USA, May 7-10, 1996, 1996)

Multiresolution stochastic models for the efficient solution of large-scale space-time estimation problems - Terrence T. Ho; Paul W. Fieguth; Alan S. Willsky (1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings, ICASSP '96, Atlanta, Georgia, USA, May 7-10, 1996, 1996)

A general multiresolution approach to the estimation of dense fields in remote sensing - Paul W. Fieguth; Alan S. Willsky; Dimitris Menemenlis; Carl Wunsch (Proceedings 1996 International Conference on Image Processing, Lausanne, Switzerland, September 16-19, 1996, 1996)

Multiscale hypothesis testing with application to anomaly characterization from tomographic projections - Austin B. Frakt; Alan S. Willsky; W. Clem Karl (Proceedings 1996 International Conference on Image Processing, Lausanne, Switzerland, September 16-19, 1996, 1996)

Multiscale segmentation and anomaly enhancement of SAR imagery - Charles H. Fosgate; Hamid Krim; Alan S. Willsky; William Clement Karl (Proceedings 1996 International Conference on Image Processing, Lausanne, Switzerland, September 16-19, 1996, 1996)

A distributed and iterative method for square root filtering in space-time estimation - Toshio Mike Chin; William Clement Karl; Alan S. Willsky (Autom., 1995)

Multiscale smoothing error models - Mark R. Luettgen; Alan S. Willsky (IEEE Trans. Autom. Control., 1995)

Multiresolution optimal interpolation and statistical analysis of TOPEX/POSEIDON satellite altimetry - Paul W. Fieguth; William Clement Karl; Alan S. Willsky; Carl Wunsch (IEEE Trans. Geosci. Remote. Sens., 1995)

Likelihood calculation for a class of multiscale stochastic models, with application to texture discrimination - Mark R. Luettgen; Alan S. Willsky (IEEE Trans. Image Process., 1995)

Estimation of dynamically evolving ellipsoids with applications to medical imaging - Seema Jaggi; William Clement Karl; Alan S. Willsky (IEEE Trans. Medical Imaging, 1995)

Reconstructing polygons from moments with connections to array processing - Peyman Milanfar; George C. Verghese; William Clement Karl; Alan S. Willsky (IEEE Trans. Signal Process., 1995)

Geometric interpretation of multiaccess joint detection and the alternating projection algorithm - Rachel E. Learned; Stéphane Mallat; Bernhard Claus; Alan S. Willsky (1995 International Conference on Acoustics, Speech, and Signal Processing, ICASSP '95, Detroit, Michigan, USA, May 08-12, 1995, 1995)

Best basis algorithm for signal enhancement - Hamid Krim; Stéphane Mallat; David L. Donoho; Alan S. Willsky (1995 International Conference on Acoustics, Speech, and Signal Processing, ICASSP '95, Detroit, Michigan, USA, May 08-12, 1995, 1995)

Multiresolution statistical analysis and assimilation of large ocean data sets - Paul W. Fieguth; William Clement Karl; Alan S. Willsky (1995 International Conference on Acoustics, Speech, and Signal Processing, ICASSP '95, Detroit, Michigan, USA, May 08-12, 1995, 1995)

Multiresolution model development for overlapping trees via canonical correlation analysis - Paul W. Fieguth; William W. Irving; Alan S. Willsky (Proceedings 1995 International Conference on Image Processing, Washington, DC, USA, October 23-26, 1995, 1995)

Multiscale geometrical feature extraction and object recognition with wavelets and morphology - Seema Jaggi; Alan S. Willsky; William Clement Karl; Stéphane Mallat (Proceedings 1995 International Conference on Image Processing, Washington, DC, USA, October 23-26, 1995, 1995)

A multi-resolution approach for imaging hydraulic conductivity - Michael M. Daniel; Alan S. Willsky; Dennis McLaughlin; David J. Rossi (Proceedings 1995 International Conference on Image Processing, Washington, DC, USA, October 23-26, 1995, 1995)

Reconstructing Ellipsoids from Projections - William Clement Karl; George C. Verghese; Alan S. Willsky (CVGIP Graph. Model. Image Process., 1994)

Reconstructing Binary Polygonal Objects from Projections: A Statistical View - Peyman Milanfar; William Clement Karl; Alan S. Willsky (CVGIP Graph. Model. Image Process., 1994)

Multiscale recursive estimation, data fusion, and regularization - Kenneth C. Chou; Alan S. Willsky; Albert Benveniste (IEEE Trans. Autom. Control., 1994)

Multiscale systems, Kalman filters, and Riccati equations - Kenneth C. Chou; Alan S. Willsky; Ramine Nikoukhah (IEEE Trans. Autom. Control., 1994)

Efficient multiscale regularization with applications to the computation of optical flow - Mark R. Luettgen; William Clement Karl; Alan S. Willsky (IEEE Trans. Image Process., 1994)

Probabilistic and sequential computation of optical flow using temporal coherence - Toshio Mike Chin; William Clement Karl; Alan S. Willsky (IEEE Trans. Image Process., 1994)

Multiresolution Stochastic Imaging of Satellite Oceanographic Altimetric Data - Paul W. Fieguth; Alan S. Willsky; William Clement Karl (Proceedings 1994 International Conference on Image Processing, Austin, Texas, USA, November 13-16, 1994, 1994)

Wavelet-Based Multiscale Stochastic Models for Efficient Tomographic Discrimination of Fractal Fields - Mickey Bhatia; William Clement Karl; Alan S. Willsky (Proceedings 1994 International Conference on Image Processing, Austin, Texas, USA, November 13-16, 1994, 1994)

Modeling and Estimation for a Class of Multiresolution Random Fields - Peyman Milanfar; Robert R. Tenney; Robert B. Washburn; Alan S. Willsky (Proceedings 1994 International Conference on Image Processing, Austin, Texas, USA, November 13-16, 1994, 1994)

Moment-Based Geometric Image Reconstruction - Peyman Milanfar; William Clement Karl; Alan S. Willsky (Proceedings 1994 International Conference on Image Processing, Austin, Texas, USA, November 13-16, 1994, 1994)

Multiresolution stochastic models, data fusion, and wavelet transforms - Kenneth C. Chou; Stuart A. Golden; Alan S. Willsky (Signal Process., 1993)

Hierarchical reconstruction using geometry and sinogram restoration - Jerry L. Prince; Alan S. Willsky (IEEE Trans. Image Process., 1993)

Multiscale representations of Markov random fields - Mark R. Luettgen; William Clement Karl; Alan S. Willsky; Robert R. Tenney (IEEE Trans. Signal Process., 1993)

Multiscale representations of Markov random fields - Mark R. Luettgen; W. Clem Karl; Alan S. Willsky; Robert R. Tenney (IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '93, Minneapolis, Minnesota, USA, April 27-30, 1993, 1993)

Aggregation and multi-level control in discrete event dynamic systems - Cüneyt M. Özveren; Alan S. Willsky (Autom., 1992)

Invertibility of Discrete-Event Dynamic Systems - Cüneyt M. Özveren; Alan S. Willsky (Math. Control. Signals Syst., 1992)

Sequential filtering for multi-frame visual reconstruction - Toshio Mike Chin; William Clement Karl; Alan S. Willsky (Signal Process., 1992)

Introduction to the special issue on wavelet transforms and multiresolution signal analysis - Ingrid Daubechies; Stéphane Mallat; Alan S. Willsky (IEEE Trans. Inf. Theory, 1992)

Modeling and estimation of multiresolution stochastic processes - Michèle Basseville; Albert Benveniste; Kenneth C. Chou; Stuart A. Golden; Ramine Nikoukhah; Alan S. Willsky (IEEE Trans. Inf. Theory, 1992)

Multiscale autoregressive processes. I. Schur-Levinson parametrizations - Michèle Basseville; Albert Benveniste; Alan S. Willsky (IEEE Trans. Signal Process., 1992)

Multiscale autoregressive processes. II. Lattice structures for whitening and modeling - Michèle Basseville; Albert Benveniste; Alan S. Willsky (IEEE Trans. Signal Process., 1992)

Opportunities and Challenges in Signal Processing and Analysis - Alan S. Willsky (Future Tendencies in Computer Science, Control and Applied Mathematics: International Conference on the Occasion of the 25th Anniversary of INRIA, Paris, France, December 8-11, 1992, Proceedings, 1992)

Convex set reconstruction using prior shape information - Jerry L. Prince; Alan S. Willsky (CVGIP Graph. Model. Image Process., 1991)

Stability and Stabilizability of Discrete Event Dynamic Systems - Cüneyt M. Özveren; Alan S. Willsky; Panos J. Antsaklis (J. ACM, 1991)

Internal models and recursive estimation for 2-D isotropic random fields - Ahmed H. Tewfik; Bernard C. Levy; Alan S. Willsky (IEEE Trans. Inf. Theory, 1991)

Modeling and estimation of multiscale stochastic processes - Kenneth C. Chou; Stuart A. Golden; Alan S. Willsky (1991 International Conference on Acoustics, Speech, and Signal Processing, ICASSP '91, Toronto, Ontario, Canada, May 14-17, 1991, 1991)

Reconstructing Convex Sets from Support Line Measurements - Jerry L. Prince; Alan S. Willsky (IEEE Trans. Pattern Anal. Mach. Intell., 1990)

A hierarchical algorithm for limited-angle reconstruction - Jerry L. Prince; Alan S. Willsky (IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '89, Glasgow, Scotland, May 23-26, 1989, 1989)

The reduction of perturbed Markov generators: an algorithm exposing the role of transient states - Jan Robin Rohlicek; Alan S. Willsky (J. ACM, 1988)

Maximum likelihood array processing for the estimation of superimposed signals - Antony J. Weiss; Alan S. Willsky; Bernard C. Levy (Proc. IEEE, 1988)

Sampling theorems for two-dimensional isotropic random fields - Ahmed H. Tewfik; Bernard C. Levy; Alan S. Willsky (IEEE Trans. Inf. Theory, 1988)

An efficient maximum entropy technique for 2-D isotropic random fields - Ahmed H. Tewfik; Bernard C. Levy; Alan S. Willsky (IEEE Trans. Acoust. Speech Signal Process., 1988)

Eigenstructure approach for array processing with unknown intensity coefficients - Anthony J. Weiss; Alan S. Willsky; Bernard C. Levy (IEEE Trans. Acoust. Speech Signal Process., 1988)

An efficient maximum entropy technique for 2-D isotropic random fields - Ahmed H. Tewfik; Bernard C. Levy; Alan S. Willsky (IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '88, New York, New York, USA, April 11-14, 1988, 1988)

A projection space map method for limited angle reconstruction - Jerry L. Prince; Alan S. Willsky (IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '88, New York, New York, USA, April 11-14, 1988, 1988)

Optimally robust redundancy relations for failure detection in uncertain systems - Xi-Cheng Lou; Alan S. Willsky; George C. Verghese (Autom., 1986)

Smoothing error dynamics and their use in the solution of smoothing and mapping problems - Martin G. Bello; Alan S. Willsky; Bernard C. Levy; David A. Castañón (IEEE Trans. Inf. Theory, 1986)

Maximum likelihood estimation of object size and orientation from projection data - David J. Rossi; Alan S. Willsky (IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '84, San Diego, California, USA, March 19-21, 1984, 1984)

A scattering framework for decentralized estimation problems - Bernard C. Levy; David A. Castañón; George C. Verghese; Alan S. Willsky (Autom., 1983)

Reconstruction from projections based on detection and estimation of objects - David J. Rossi; Alan S. Willsky (IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '83, Boston, Massachusetts, USA, April 14-16, 1983, 1983)

On the Algebraic Structure of Certain Partially Observable Finite-State Markov Processes - Alan S. Willsky (Inf. Control., 1978)

A survey of design methods for failure detection in dynamic systems - Alan S. Willsky (Autom., 1976)

Invertibility of Finite Group Homomorphic Sequential Systems - Alan S. Willsky (Inf. Control., 1975)

Estimation and detection of signals in multiplicative noise (Corresp.) - Alan S. Willsky (IEEE Trans. Inf. Theory, 1975)

Fourier series and estimation on the circle with applications to synchronous communication-I: Analysis - Alan S. Willsky (IEEE Trans. Inf. Theory, 1974)

Fourier series and estimation on the circle with applications to synchronous communication-II: Implementation - Alan S. Willsky (IEEE Trans. Inf. Theory, 1974)

Some structural properties of automata defined on groups - Roger W. Brockett; Alan S. Willsky (Category Theory Applied to Computation and Control, Proceedings of the First International Symposium, San Francisco, CA, USA, February 25-26, 1974, Proceedings, 1974)