Steven P. Brumby

According to our database, Steven P. Brumby authored at least 25 papers between 2000 and 2021.

Collaborative distances:

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

2021

Global land use / land cover with Sentinel 2 and deep learning.

Krishna Karra, Caitlin Kontgis, Zoe Statman-Weil, Joseph C. Mazzariello, Mark Mathis, Steven P. Brumby

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2016

Wavelet-Compressed Representation of Landscapes for Hydrologic and Geomorphologic Applications.

Chandana Gangodagamage, Efi Foufoula-Georgiou, Steven P. Brumby, Rick Chartrand, Alexander Koltunov, Desheng Liu, Michael Cai, Susan L. Ustin

IEEE Geosci. Remote. Sens. Lett., 2016

Land cover classification in fused multisensor multispectral satellite imagery.

Daniela I. Moody, Dana E. Bauer, Steven P. Brumby, Eric D. Chisolm, Michael S. Warren, Samuel W. Skillman, Ryan Keisler

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

Building a living atlas of the Earth in the cloud.

Daniela I. Moody, Michael S. Warren, Samuel W. Skillman, Rick Chartrand, Steven P. Brumby, Ryan Keisler, Tim Kelton, Mark Mathis

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

Seeing the Earth in the Cloud: Processing one petabyte of satellite imagery in one day.

Michael S. Warren, Steven P. Brumby, Samuel W. Skillman, Tim Kelton, Brendt Wohlberg, Mark Mathis, Rick Chartrand, Ryan Keisler, Mark Johnson

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

Automated variability selection in time-domain imaging surveys using sparse representations with learned dictionaries.

Daniela I. Moody, Przemek R. Wozniak, Steven P. Brumby

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

2014

Video: Remote sensor placement.

David Dennis Lee Mascarenas, Logan Ott, Aaron Curtis, Sara Brambilla, Amy C. Larson, Steven P. Brumby, Charles R. Farrar

Proceedings of the 12th Annual International Conference on Mobile Systems, 2014

Demo: A remote sensor placement device for scalable and precise deployment of sensor networks.

David Dennis Lee Mascarenas, Logan Ott, Aaron Curtis, Sara Brambilla, Amy C. Larson, Steven P. Brumby, Charles R. Farrar

Proceedings of the 12th Annual International Conference on Mobile Systems, 2014

Change detection and classification of land cover in multispectral satellite imagery using clustering of sparse approximations (CoSA) over learned feature dictionaries.

Daniela I. Moody, Steven P. Brumby, Joel C. Rowland, Garrett L. Altmann, Amy E. Larson

Proceedings of the 2014 IEEE Applied Imagery Pattern Recognition Workshop, 2014

2013

Biologically inspired distributed sensor networks: Collective signal amplification via ultra-low bandwidth spike-based communication.

Sheng Y. Lundquist, Dylan M. Paiton, Brennan M. Nowers, Peter F. Schultz, Steven P. Brumby, Anders M. Jorgensen, Garrett T. Kenyon

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Interpreting individual classifications of hierarchical networks.

Will Landecker, Michael D. Thomure, Luís M. A. Bettencourt, Melanie Mitchell, Garrett T. Kenyon, Steven P. Brumby

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013

2012

Combining multiple visual processing streams for locating and classifying objects in video.

Dylan M. Paiton, Steven P. Brumby, Garrett T. Kenyon, Gerd J. Kunde, Kris D. Peterson, Mohammed I. Ham, Peter F. Schultz, John S. George

Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2012

Learning sparse representation via a nonlinear shrinkage encoder and a linear sparse decoder.

Zhengping Ji, Wentao Huang, Steven P. Brumby

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Development of invariant feature maps via a computational model of simple and complex cells.

Wentao Huang, Zhengping Ji, Steven P. Brumby, Garrett T. Kenyon, Luís M. A. Bettencourt

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Unsupervised land cover classification in multispectral imagery with sparse representations on learned dictionaries.

Daniela I. Moody, Steven P. Brumby, Joel C. Rowland, Chandana Gangodagamage

Proceedings of the 2012 IEEE Applied Imagery Pattern Recognition Workshop, 2012

Simulating vision through time: Hierarchical, sparse models of visual cortex for motion imagery.

Amy E. Galbraith, Steven P. Brumby, Rick Chartrand

Proceedings of the 2012 IEEE Applied Imagery Pattern Recognition Workshop, 2012

2011

Model Cortical Association Fields Account for the Time Course and Dependence on Target Complexity of Human Contour Perception.

Vadas Gintautas, Michael I. Ham, Benjamin Kunsberg, Shawn Barr, Steven P. Brumby, Craig Rasmussen, John S. George, Ilya Nemenman, Luís M. A. Bettencourt, Garrett T. Kenyon

PLoS Comput. Biol., 2011

Sparse classification of rf transients using chirplets and learned dictionaries.

Daniela I. Moody, Steven P. Brumby, Kary L. Myers, Norma H. Pawley

Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2009

Detection of facilities in satellite imagery using semi-supervized image classification and auxiliary contextual observables.

Neal R. Harvey, Christy Ruggiero, Norma H. Pawley, B. MacDonald, A. Oyer, Lee K. Balick, Steven P. Brumby

Proceedings of the Visual Information Processing XVIII, 2009

Large-scale functional models of visual cortex for remote sensing.

Steven P. Brumby, Garrett T. Kenyon, Will Landecker, Craig Rasmussen, Sriram Swaminarayan, Luís M. A. Bettencourt

Proceedings of the 2009 IEEE Applied Imagery Pattern Recognition Workshop, 2009

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

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

Feature Extraction from Hyperspectral Images Compressed Using the JPEG-2000 Standard.

Mihaela D. Pal, Christopher M. Brislawn, Steven P. Brumby

Proceedings of the 5th IEEE Southwest Symposium on Image Analysis and Interpretation, 2002

Analysis Of Multispectral Imagery And Modeling Contaminant Transport.

Naomi M. Becker, Steven P. Brumby, Nancy A. David, John M. Irvine

Proceedings of the 31st Applied Image Pattern Recognition Workshop (AIPR 2002), 2002

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