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ORCIDReid B. Porter
Person information
- affiliation: Los Alamos National Laboratory, NM, USA
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2010 – 2019
- 2019
[i2]Carleton Coffrin, James Arnold, Stephan J. Eidenbenz, Derek Aberle, John Ambrosiano, Zachary K. Baker, Sara Brambilla, Michael J. Brown, K. Nolan Carter, Pinghan Chu, Patrick Conry, Keeley Costigan, Ariane Eberhardt, David M. Fobes, Adam Gausmann, Sean N. Harris, Donovan Heimer, Marlin Holmes, Bill Junor, Csaba Kiss, Steve Linger, Rodman R. Linn, Li-Ta Lo, Jonathan MacCarthy, Omar Marcillo, Clay McGinnis, Alexander McQuarters, Eric Michalak, Arvind Mohan, Matt Nelson, Diane Oyen, Nidhi Parikh, Donatella Pasqualini, Aaron S. Pope, Reid B. Porter, Chris Rawlings, Hannah Reinbolt, Reid D. Rivenburgh, Philip Romero, Kevin Schoonover, Alexei N. Skurikhin, Daniel R. Tauritz, Dima Tretiak, Zhehui Wang, James Wernicke, Brad Wolfe, Phillip Wolfram, Jonathan Woodring:
The ISTI Rapid Response on Exploring Cloud Computing 2018. CoRR abs/1901.01331 (2019)- 2016
- [j9]Neal R. Harvey
, Reid B. Porter:
User-driven sampling strategies in image exploitation. Inf. Vis. 15(1): 64-74 (2016) - [c25]Reid B. Porter, Beate G. Zimmer:
Deep segmentation networks using "simple" multi-layered graphical models. SSIAI 2016: 41-44 - 2015
- [c24]Phillip Odom, Tushar Khot, Reid B. Porter, Sriraam Natarajan:
Knowledge-Based Probabilistic Logic Learning. AAAI 2015: 3564-3570 - [c23]Diane Oyen, Nina Lanza, Reid B. Porter:
Discovering compositional trends in Mars rock targets from ChemCam spectroscopy and remote imaging. AIPR 2015: 1-8 - [c22]Christy Ruggiero, Amy Ross, Reid B. Porter:
Segmentation and learning in the quantitative analysis of microscopy images. Image Processing: Machine Vision Applications 2015: 94050L - [c21]Reid B. Porter, Beate G. Zimmer:
Links between binary classification and the assignment problem in ordered hypothesis machines. Image Processing: Algorithms and Systems 2015: 939902 - [c20]Reid B. Porter, Diane Oyen, Beate G. Zimmer:
Learning Watershed Cuts Energy Functions. ISMM 2015: 497-508 - 2014
- [c19]Reid B. Porter, Neal R. Harvey, Christy Ruggiero:
Investigation of segmentation based pooling for image quantification. Image Processing: Machine Vision Applications 2014: 90240F - [c18]Neal R. Harvey, Reid B. Porter:
User-driven sampling strategies in image exploitation. Visualization and Data Analysis 2014: 90170B - 2013
- [j8]Reid B. Porter, James Theiler, Don R. Hush:
Interactive Machine Learning in Data Exploitation. Comput. Sci. Eng. 15(5): 12-20 (2013) - 2012
- [j7]G. Beate Zimmer, Don R. Hush, Reid B. Porter:
Ordered Hypothesis Machines. J. Math. Imaging Vis. 43(2): 121-134 (2012) - 2011
- [c17]Reid B. Porter, Christy Ruggiero, Don R. Hush, Neal R. Harvey, Patrick Kelly, Wayne Scoggins, Lav Tandon:
Interactive image quantification tools in nuclear material forensics. Image Processing: Machine Vision Applications 2011: 787708 - [c16]Reid B. Porter, Don R. Hush, G. Beate Zimmer:
Error minimizing algorithms for nearest neighbor classifiers. Image Processing: Algorithms and Systems 2011: 787005 - 2010
- [j6]Don R. Hush, Reid B. Porter:
Algorithms for optimal dyadic decision trees. Mach. Learn. 80(1): 85-107 (2010) - [j5]Edward Rosten, Reid B. Porter, Tom Drummond:
Faster and Better: A Machine Learning Approach to Corner Detection. IEEE Trans. Pattern Anal. Mach. Intell. 32(1): 105-119 (2010) - [j4]Reid B. Porter, Andrew M. Fraser, Don R. Hush:
Wide-Area Motion Imagery. IEEE Signal Process. Mag. 27(5): 56-65 (2010) - [c15]Ranga Raju Vatsavai, Budhendra L. Bhaduri, Anil M. Cheriyadat, Lloyd F. Arrowood, Eddie A. Bright, Shaun S. Gleason, Carl Diegert, Aggelos K. Katsaggelos, Thrasos N. Pappas, Reid B. Porter, Jim Bollinger, Barry Chen, Ryan Hohimer:
Geospatial image mining for nuclear proliferation detection: Challenges and new opportunities. IGARSS 2010: 48-51 - [c14]Neal R. Harvey, Reid B. Porter, James Theiler:
Ship detection in satellite imagery using rank-order grayscale hit-or-miss transforms. Visual Information Processing 2010: 770102
2000 – 2009
- 2009
- [c13]Reid B. Porter, G. Beate Zimmer, Don R. Hush:
Stack Filter Classifiers. ISMM 2009: 282-294 - [c12]Reid B. Porter, Neal R. Harvey, James Theiler:
A change detection approach to moving object detection in low fame-rate video. Visual Information Processing 2009: 73410 - [c11]Reid B. Porter, Christy Ruggiero, John D. Morrison:
A framework for activity detection in wide-area motion imagery. Visual Information Processing 2009: 73410 - 2008
- [c10]Zachary K. Baker, Reid B. Porter:
Rotationally invariant sparse patch matching on GPU and FPGA. IPDPS 2008: 1-8 - [i1]Edward Rosten, Reid B. Porter, Tom Drummond:
Faster and better: a machine learning approach to corner detection. CoRR abs/0810.2434 (2008) - 2007
- [j3]Reid B. Porter, Jan R. Frigo, Al Conti, Neal R. Harvey, Garrett T. Kenyon, Maya B. Gokhale:
A reconfigurable computing framework for multi-scale cellular image processing. Microprocess. Microsystems 31(8): 546-563 (2007) - 2006
- [c9]Reid B. Porter, Jan R. Frigo, Maya B. Gokhale, Christophe Wolinski, François Charot, Charles Wagner:
A Run-Time Re-configurable Parametric Architecture for Local Neighborhood Image Processing. DSD 2006: 107-115 - [c8]Reid B. Porter, Jan R. Frigo, Maya B. Gokhale, Christophe Wolinski, François Charot, Charles Wagner:
A Programmable, Maximal Throughput Architecture for Neighborhood Image Processing. FCCM 2006: 279-280 - 2004
- [c7]Alex Nugent, Garrett T. Kenyon, Reid B. Porter:
Unsupervised Adaptation to Improve Fault Tolerance of Neural Network Classifiers. Evolvable Hardware 2004: 146- - 2003
- [j2]Reid B. Porter, Neal R. Harvey, Simon Perkins, James Theiler, Steven P. Brumby, Jeffrey J. Bloch, Maya B. Gokhale, John J. Szymanski:
Optimizing Digital Hardware Perceptrons for Multi-Spectral Image Classification. J. Math. Imaging Vis. 19(2): 133-150 (2003) - [c6]Reid B. Porter, Damian Eads, Don R. Hush, James Theiler:
Weighted Order Statistic Classifiers with Large Rank-Order Margin. ICML 2003: 600-607 - 2002
- [j1]Neal R. Harvey, James Theiler, Steven P. Brumby, Simon Perkins, John J. Szymanski, Jeffrey J. Bloch, Reid B. Porter, Mark Galassi, A. Cody Young:
Comparison of GENIE and conventional supervised classifiers for multispectral image feature extraction. IEEE Trans. Geosci. Remote. Sens. 40(2): 393-404 (2002) - 2001
- [c5]Reid B. Porter, Maya B. Gokhale, Neal R. Harvey, Simon Perkins, A. Cody Young:
Evolving Network Architectures With Custom Computers For Multi-Spectral Feature Identification. Evolvable Hardware 2001: 261-270 - 2000
- [c4]Neal R. Harvey, Simon Perkins, Steven P. Brumby, James Theiler, Reid B. Porter, A. Cody Young, Anil K. Varghese, John J. Szymanski, Jeffrey J. Bloch:
Finding Golf Courses: The Ultra High Tech Approach. EvoWorkshops 2000: 54-64 - [c3]Simon Perkins, Reid B. Porter, Neal R. Harvey:
Everything on the Chip: A Hardware-Based Self-Contained Spatially-Structured Genetic Algorithm for Signal Processing. ICES 2000: 165-174
1990 – 1999
- 1999
- [c2]Reid B. Porter, Kevin McCabe, Neil W. Bergmann:
An Applications Approach to Evolvable Hardware. Evolvable Hardware 1999: 170-174 - 1998
- [c1]Reid B. Porter, Neil W. Bergmann:
Evolving FPGA Based Cellular Automata. SEAL 1998: 114-121
Coauthor Index
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