Steven P. Brumby

25 papers A 2B 3C 2Misc 1Journal 4Unranked 13

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