Reid B. Porter

36 papers A* 2A 1C 4Misc 2Journal 11Unranked 16
YearRankTypeTitle / Venue / Authors
2019 J jnl
The ISTI Rapid Response on Exploring Cloud Computing 2018.
CoRR
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 T. 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
2016 — conf
Deep segmentation networks using "simple" multi-layered graphical models.
SSIAI
Reid B. Porter, Beate G. Zimmer
2016 J jnl
User-driven sampling strategies in image exploitation.
Inf. Vis.
Neal R. Harvey, Reid B. Porter
2015 — conf
Discovering compositional trends in Mars rock targets from ChemCam spectroscopy and remote imaging.
AIPR
Diane Oyen, Nina Lanza, Reid B. Porter
2015 A* conf
Knowledge-Based Probabilistic Logic Learning.
AAAI
Phillip Odom, Tushar Khot, Reid B. Porter, Sriraam Natarajan
2015 C conf
Learning Watershed Cuts Energy Functions.
ISMM
Reid B. Porter, Diane Oyen, Beate G. Zimmer
2015 — conf
Links between binary classification and the assignment problem in ordered hypothesis machines.
Image Processing: Algorithms and Systems
Reid B. Porter, Beate G. Zimmer
2015 — conf
Segmentation and learning in the quantitative analysis of microscopy images.
Image Processing: Machine Vision Applications
Christy Ruggiero, Amy Ross, Reid B. Porter
2014 — conf
Investigation of segmentation based pooling for image quantification.
Image Processing: Machine Vision Applications
Reid B. Porter, Neal R. Harvey, Christy Ruggiero
2014 Misc conf
User-driven sampling strategies in image exploitation.
Visualization and Data Analysis
Neal R. Harvey, Reid B. Porter
2013 J jnl
Interactive Machine Learning in Data Exploitation.
Comput. Sci. Eng.
Reid B. Porter, James Theiler, Don R. Hush
2012 J jnl
Ordered Hypothesis Machines.
J. Math. Imaging Vis.
G. Beate Zimmer, Don R. Hush, Reid B. Porter
2011 — conf
Error minimizing algorithms for nearest neighbor classifiers.
Image Processing: Algorithms and Systems
Reid B. Porter, Don R. Hush, G. Beate Zimmer
2011 — conf
Interactive image quantification tools in nuclear material forensics.
Image Processing: Machine Vision Applications
Reid B. Porter, Christy Ruggiero, Don R. Hush, Neal R. Harvey, Patrick Kelly, Wayne Scoggins, Lav Tandon
2010 J jnl
Algorithms for optimal dyadic decision trees.
Mach. Learn.
Don R. Hush, Reid B. Porter
2010 J jnl
Faster and Better: A Machine Learning Approach to Corner Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Edward Rosten, Reid B. Porter, Tom Drummond
2010 C conf
Geospatial image mining for nuclear proliferation detection: Challenges and new opportunities.
IGARSS
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
2010 — conf
Ship detection in satellite imagery using rank-order grayscale hit-or-miss transforms.
Visual Information Processing
Neal R. Harvey, Reid B. Porter, James Theiler
2010 J jnl
Wide-Area Motion Imagery.
IEEE Signal Process. Mag.
Reid B. Porter, Andrew M. Fraser, Don R. Hush
2009 — conf
A change detection approach to moving object detection in low fame-rate video.
Visual Information Processing
Reid B. Porter, Neal R. Harvey, James Theiler
2009 — conf
A framework for activity detection in wide-area motion imagery.
Visual Information Processing
Reid B. Porter, Christy Ruggiero, John D. Morrison
2009 C conf
Stack Filter Classifiers.
ISMM
Reid B. Porter, G. Beate Zimmer, Don R. Hush
2008 J jnl
Faster and better: a machine learning approach to corner detection
CoRR
Edward Rosten, Reid B. Porter, Tom Drummond
2008 A conf
Rotationally invariant sparse patch matching on GPU and FPGA.
IPDPS
Zachary K. Baker, Reid B. Porter
2007 J jnl
A reconfigurable computing framework for multi-scale cellular image processing.
Microprocess. Microsystems
Reid B. Porter, Jan R. Frigo, Al Conti, Neal R. Harvey, Garrett T. Kenyon, Maya B. Gokhale
2006 Misc conf
A Programmable, Maximal Throughput Architecture for Neighborhood Image Processing.
FCCM
Reid B. Porter, Jan R. Frigo, Maya B. Gokhale, Christophe Wolinski, François Charot, Charles Wagner
2006 C conf
A Run-Time Re-configurable Parametric Architecture for Local Neighborhood Image Processing.
DSD
Reid B. Porter, Jan R. Frigo, Maya B. Gokhale, Christophe Wolinski, François Charot, Charles Wagner
2004 — conf
Unsupervised Adaptation to Improve Fault Tolerance of Neural Network Classifiers.
Evolvable Hardware
Alex Nugent, Garrett T. Kenyon, Reid B. Porter
2003 J jnl
Optimizing Digital Hardware Perceptrons for Multi-Spectral Image Classification.
J. Math. Imaging Vis.
Reid B. Porter, Neal R. Harvey, Simon Perkins, James Theiler, Steven P. Brumby, Jeffrey J. Bloch, Maya B. Gokhale, John J. Szymanski
2003 A* conf
Weighted Order Statistic Classifiers with Large Rank-Order Margin.
ICML
Reid B. Porter, Damian Eads, Don R. Hush, James Theiler
2002 J jnl
Comparison of GENIE and conventional supervised classifiers for multispectral image feature extraction.
IEEE Trans. Geosci. Remote. Sens.
Neal R. Harvey, James Theiler, Steven P. Brumby, Simon Perkins, John J. Szymanski, Jeffrey J. Bloch, Reid B. Porter, Mark Galassi, A. Cody Young
2001 — conf
Evolving Network Architectures With Custom Computers For Multi-Spectral Feature Identification.
Evolvable Hardware
Reid B. Porter, Maya B. Gokhale, Neal R. Harvey, Simon Perkins, A. Cody Young
2000 — conf
Everything on the Chip: A Hardware-Based Self-Contained Spatially-Structured Genetic Algorithm for Signal Processing.
ICES
Simon Perkins, Reid B. Porter, Neal R. Harvey
2000 — conf
Finding Golf Courses: The Ultra High Tech Approach.
EvoWorkshops
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
1999 — conf
An Applications Approach to Evolvable Hardware.
Evolvable Hardware
Reid B. Porter, Kevin McCabe, Neil W. Bergmann
1998 — conf
Evolving FPGA Based Cellular Automata.
SEAL
Reid B. Porter, Neil W. Bergmann