Reid B. Porter

According to our database, Reid B. Porter authored at least 34 papers between 1998 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

The ISTI Rapid Response on Exploring Cloud Computing 2018.

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

CoRR, 2019

2016

User-driven sampling strategies in image exploitation.

Neal R. Harvey, Reid B. Porter

Inf. Vis., 2016

Deep segmentation networks using "simple" multi-layered graphical models.

Reid B. Porter, Beate G. Zimmer

Proceedings of the 2016 IEEE Southwest Symposium on Image Analysis and Interpretation, 2016

2015

Learning Watershed Cuts Energy Functions.

Reid B. Porter, Diane Oyen, Beate G. Zimmer

Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2015

Links between binary classification and the assignment problem in ordered hypothesis machines.

Reid B. Porter, Beate G. Zimmer

Proceedings of the Image Processing: Algorithms and Systems XIII, 2015

Segmentation and learning in the quantitative analysis of microscopy images.

Christy Ruggiero, Amy Ross, Reid B. Porter

Proceedings of the Image Processing: Machine Vision Applications VIII, 2015

Discovering compositional trends in Mars rock targets from ChemCam spectroscopy and remote imaging.

Diane Oyen, Nina Lanza, Reid B. Porter

Proceedings of the 2015 IEEE Applied Imagery Pattern Recognition Workshop, 2015

Knowledge-Based Probabilistic Logic Learning.

Phillip Odom, Tushar Khot, Reid B. Porter, Sriraam Natarajan

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Investigation of segmentation based pooling for image quantification.

Reid B. Porter, Neal R. Harvey, Christy Ruggiero

Proceedings of the Image Processing: Machine Vision Applications VII, 2014

2013

Interactive Machine Learning in Data Exploitation.

Reid B. Porter, James Theiler, Don R. Hush

Comput. Sci. Eng., 2013

2012

Ordered Hypothesis Machines.

G. Beate Zimmer, Don R. Hush, Reid B. Porter

J. Math. Imaging Vis., 2012

2011

Error minimizing algorithms for nearest neighbor classifiers.

Reid B. Porter, Don R. Hush, G. Beate Zimmer

Proceedings of the Image Processing: Algorithms and Systems IX, 2011

Interactive image quantification tools in nuclear material forensics.

Reid B. Porter, Christy Ruggiero, Don R. Hush, Neal R. Harvey, Patrick Kelly, Wayne Scoggins, Lav Tandon

Proceedings of the Image Processing: Machine Vision Applications IV, 2011

2010

Wide-Area Motion Imagery.

Reid B. Porter, Andrew M. Fraser, Don R. Hush

IEEE Signal Process. Mag., 2010

Faster and Better: A Machine Learning Approach to Corner Detection.

Edward Rosten, Reid B. Porter, Tom Drummond

IEEE Trans. Pattern Anal. Mach. Intell., 2010

Algorithms for optimal dyadic decision trees.

Don R. Hush, Reid B. Porter

Mach. Learn., 2010

Ship detection in satellite imagery using rank-order grayscale hit-or-miss transforms.

Neal R. Harvey, Reid B. Porter, James Theiler

Proceedings of the Visual Information Processing XIX, 2010

Geospatial image mining for nuclear proliferation detection: Challenges and new opportunities.

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

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2009

A framework for activity detection in wide-area motion imagery.

Reid B. Porter, Christy Ruggiero, John D. Morrison

Proceedings of the Visual Information Processing XVIII, 2009

A change detection approach to moving object detection in low fame-rate video.

Reid B. Porter, Neal R. Harvey, James Theiler

Proceedings of the Visual Information Processing XVIII, 2009

Stack Filter Classifiers.

Reid B. Porter, G. Beate Zimmer, Don R. Hush

Proceedings of the Mathematical Morphology and Its Application to Signal and Image Processing, 2009

2008

Rotationally invariant sparse patch matching on GPU and FPGA.

Zachary K. Baker, Reid B. Porter

Proceedings of the 22nd IEEE International Symposium on Parallel and Distributed Processing, 2008

2007

A reconfigurable computing framework for multi-scale cellular image processing.

Reid B. Porter, Jan R. Frigo, Al Conti, Neal R. Harvey, Garrett T. Kenyon, Maya B. Gokhale

Microprocess. Microsystems, 2007

2006

A Programmable, Maximal Throughput Architecture for Neighborhood Image Processing.

Reid B. Porter, Jan R. Frigo, Maya B. Gokhale, Christophe Wolinski, François Charot, Charles Wagner

Proceedings of the 14th IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM 2006), 2006

A Run-Time Re-configurable Parametric Architecture for Local Neighborhood Image Processing.

Reid B. Porter, Jan R. Frigo, Maya B. Gokhale, Christophe Wolinski, François Charot, Charles Wagner

Proceedings of the Ninth Euromicro Conference on Digital System Design: Architectures, Methods and Tools (DSD 2006), 30 August, 2006

2004

Unsupervised Adaptation to Improve Fault Tolerance of Neural Network Classifiers.

Alex Nugent, Garrett T. Kenyon, Reid B. Porter

Proceedings of the 6th NASA / DoD Workshop on Evolvable Hardware (EH 2004), 2004

2003

Optimizing Digital Hardware Perceptrons for Multi-Spectral Image Classification.

Reid B. Porter, Neal R. Harvey, Simon Perkins, James Theiler, Steven P. Brumby, Jeffrey J. Bloch, Maya B. Gokhale, John J. Szymanski

J. Math. Imaging Vis., 2003

Weighted Order Statistic Classifiers with Large Rank-Order Margin.

Reid B. Porter, Damian Eads, Don R. Hush, James Theiler

Proceedings of the Machine Learning, 2003

2002

Comparison of GENIE and conventional supervised classifiers for multispectral image feature extraction.

Neal R. Harvey, James Theiler, Steven P. Brumby, Simon Perkins, John J. Szymanski, Jeffrey J. Bloch, Reid B. Porter, Mark Galassi, A. Cody Young

IEEE Trans. Geosci. Remote. Sens., 2002

2001

Evolving Network Architectures With Custom Computers For Multi-Spectral Feature Identification.

Reid B. Porter, Maya B. Gokhale, Neal R. Harvey, Simon Perkins, A. Cody Young

Proceedings of the 3rd NASA / DoD Workshop on Evolvable Hardware (EH 2001), 2001

2000

Everything on the Chip: A Hardware-Based Self-Contained Spatially-Structured Genetic Algorithm for Signal Processing.

Simon Perkins, Reid B. Porter, Neal R. Harvey

Proceedings of the Evolvable Systems: From Biology to Hardware, 2000

Finding Golf Courses: The Ultra High Tech Approach.

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

Proceedings of the Real-World Applications of Evolutionary Computing, 2000

1999

An Applications Approach to Evolvable Hardware.

Reid B. Porter, Kevin McCabe, Neil W. Bergmann

Proceedings of the 1st NASA / DoD Workshop on Evolvable Hardware (EH '99), 1999

1998

Evolving FPGA Based Cellular Automata.

Reid B. Porter, Neil W. Bergmann

Proceedings of the Simulated Evolution and Learning, 1998