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Steven P. Brumby
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2020 – today
- 2021
- [c21]Krishna Karra, Caitlin Kontgis, Zoe Statman-Weil, Joseph C. Mazzariello, Mark Mathis, Steven P. Brumby:
Global land use / land cover with Sentinel 2 and deep learning. IGARSS 2021: 4704-4707
2010 – 2019
- 2016
- [j4]Chandana Gangodagamage, Efi Foufoula-Georgiou, Steven P. Brumby, Rick Chartrand, Alexander Koltunov, Desheng Liu, Michael Cai, Susan L. Ustin:
Wavelet-Compressed Representation of Landscapes for Hydrologic and Geomorphologic Applications. IEEE Geosci. Remote. Sens. Lett. 13(4): 480-484 (2016) - [c20]Daniela I. Moody, Michael S. Warren, Samuel W. Skillman, Rick Chartrand, Steven P. Brumby, Ryan Keisler, Tim Kelton, Mark Mathis:
Building a living atlas of the Earth in the cloud. ACSSC 2016: 1273-1277 - [c19]Daniela I. Moody, Dana E. Bauer, Steven P. Brumby, Eric D. Chisolm, Michael S. Warren, Samuel W. Skillman, Ryan Keisler:
Land cover classification in fused multisensor multispectral satellite imagery. SSIAI 2016: 85-88 - 2015
- [c18]Daniela I. Moody, Przemek R. Wozniak, Steven P. Brumby:
Automated variability selection in time-domain imaging surveys using sparse representations with learned dictionaries. AIPR 2015: 1-8 - [c17]Michael S. Warren, Steven P. Brumby, Samuel W. Skillman, Tim Kelton, Brendt Wohlberg, Mark Mathis, Rick Chartrand, Ryan Keisler, Mark Johnson:
Seeing the Earth in the Cloud: Processing one petabyte of satellite imagery in one day. AIPR 2015: 1-12 - 2014
- [c16]Daniela I. Moody, Steven P. Brumby, Joel C. Rowland, Garrett L. Altmann, Amy E. Larson:
Change detection and classification of land cover in multispectral satellite imagery using clustering of sparse approximations (CoSA) over learned feature dictionaries. AIPR 2014: 1-10 - [c15]David Dennis Lee Mascarenas, Logan Ott, Aaron Curtis, Sara Brambilla, Amy C. Larson, Steven P. Brumby, Charles R. Farrar:
Demo: A remote sensor placement device for scalable and precise deployment of sensor networks. MobiSys 2014: 349 - [c14]David Dennis Lee Mascarenas, Logan Ott, Aaron Curtis, Sara Brambilla, Amy C. Larson, Steven P. Brumby, Charles R. Farrar:
Video: Remote sensor placement. MobiSys 2014: 388 - 2013
- [c13]Will Landecker, Michael D. Thomure, Luís M. A. Bettencourt, Melanie Mitchell, Garrett T. Kenyon, Steven P. Brumby:
Interpreting individual classifications of hierarchical networks. CIDM 2013: 32-38 - [c12]Sheng Y. Lundquist, Dylan M. Paiton, Brennan M. Nowers, Peter F. Schultz, Steven P. Brumby, Anders M. Jorgensen, Garrett T. Kenyon:
Biologically inspired distributed sensor networks: Collective signal amplification via ultra-low bandwidth spike-based communication. IJCNN 2013: 1-9 - 2012
- [c11]Amy E. Galbraith, Steven P. Brumby, Rick Chartrand:
Simulating vision through time: Hierarchical, sparse models of visual cortex for motion imagery. AIPR 2012: 1-8 - [c10]Daniela I. Moody, Steven P. Brumby, Joel C. Rowland, Chandana Gangodagamage:
Unsupervised land cover classification in multispectral imagery with sparse representations on learned dictionaries. AIPR 2012: 1-10 - [c9]Wentao Huang, Zhengping Ji, Steven P. Brumby, Garrett T. Kenyon, Luís M. A. Bettencourt:
Development of invariant feature maps via a computational model of simple and complex cells. IJCNN 2012: 1-7 - [c8]Zhengping Ji, Wentao Huang, Steven P. Brumby:
Learning sparse representation via a nonlinear shrinkage encoder and a linear sparse decoder. IJCNN 2012: 1-8 - [c7]Dylan M. Paiton, Steven P. Brumby, Garrett T. Kenyon, Gerd J. Kunde, Kris D. Peterson, Mohammed I. Ham, Peter F. Schultz, John S. George:
Combining multiple visual processing streams for locating and classifying objects in video. SSIAI 2012: 49-52 - 2011
- [j3]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:
Model Cortical Association Fields Account for the Time Course and Dependence on Target Complexity of Human Contour Perception. PLoS Comput. Biol. 7(10) (2011) - [c6]Daniela I. Moody, Steven P. Brumby, Kary L. Myers, Norma H. Pawley:
Sparse classification of rf transients using chirplets and learned dictionaries. ACSCC 2011: 1888-1892
2000 – 2009
- 2009
- [c5]Steven P. Brumby, Garrett T. Kenyon, Will Landecker, Craig Rasmussen, Sriram Swaminarayan, Luís M. A. Bettencourt:
Large-scale functional models of visual cortex for remote sensing. AIPR 2009: 1-6 - [c4]Neal R. Harvey, Christy Ruggiero, Norma H. Pawley, B. MacDonald, A. Oyer, Lee K. Balick, Steven P. Brumby:
Detection of facilities in satellite imagery using semi-supervized image classification and auxiliary contextual observables. Visual Information Processing 2009: 73410 - 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) - 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) - [c3]Naomi M. Becker, Steven P. Brumby, Nancy A. David, John M. Irvine:
Analysis Of Multispectral Imagery And Modeling Contaminant Transport. AIPR 2002: 71-77 - [c2]Mihaela D. Pal, Christopher M. Brislawn, Steven P. Brumby:
Feature Extraction from Hyperspectral Images Compressed Using the JPEG-2000 Standard. SSIAI 2002: 168-172 - 2000
- [c1]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
Coauthor Index
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