TY - JOUR
T1 - Learning low-dimensional signal models
AU - Carin, Lawrence
AU - Baraniuk, Richard
AU - Cevher, Volkan
AU - Dunson, David
AU - Jordan, Michael
AU - Sapiro, Guillermo
AU - Wakin, Michael
N1 - Funding Information:
Richard G. Baraniuk ([email protected]) is the Victor E. Cameron Professor of Electrical and Computer Engineering at Rice University. His work on the Rice single-pixel compressive camera was selected by MIT Technology Review as a ‘‘TR10 Top 10 Emerging Technology’’ for 2007. He is a Fellow of the IEEE and the American Association for the Advancement of Science and has received national young investigator Awards from the National Science Foundation and the Office of Naval Research, the Rosenbaum Fellowship from the Isaac Newton Institute of Cambridge University, the ECE Young Alumni Achievement Award from the University of Illinois, and the Wavelet Pioneer Award from SPIE. He is the founder of Connexions. His research interests lie in new theory, algorithms, and hardware for sensing and signal processing.
Funding Information:
Guillermo Sapiro ([email protected]) received his B.Sc. (summa cum laude), M.Sc., and Ph.D. degrees from the Department of Electrical Engineering at Technion, Israel Institute of Technology, in 1989, 1991, and 1993, respectively. After postdoctoral research at MIT, he became a member of technical staff at the research facilities of HP Labs in Palo Alto, California. He is currently with the Department of Electrical and Computer Engineering at the University of Minnesota, where he holds the position of Distinguished McKnight University Professor and Vincentine Hermes-Luh Chair in Electrical and Computer Engineering. He received the Gutwirth Scholarship for Special Excellence in Graduate Studies in 1991, the Ollendorff Fellowship for Excellence in Vision and Image Understanding Work in 1992, the Rothschild Fellowship for postdoctoral studies in 1993, the Office of Naval Research Young Investigator Award in 1998, the Presidential Early Career Awards for Scientist and Engineers (PECASE) in 1998, the NSF Career Award in 1999, and the National Security Science and Engineering Faculty Fellowship in 2010. He is the funding editor-in-chief of SIAM Journal on Imaging Sciences.
PY - 2011/3
Y1 - 2011/3
N2 - Sampling, coding, and streaming even the most essential data, e.g., in medical imaging and weather-monitoring applications, produce a data deluge that severely stresses the available analog-to-digital converter, communication bandwidth, and digital-storage resources. Surprisingly, while the ambient data dimension is large in many problems, the relevant information in the data can reside in a much lower dimensional space.
AB - Sampling, coding, and streaming even the most essential data, e.g., in medical imaging and weather-monitoring applications, produce a data deluge that severely stresses the available analog-to-digital converter, communication bandwidth, and digital-storage resources. Surprisingly, while the ambient data dimension is large in many problems, the relevant information in the data can reside in a much lower dimensional space.
KW - Analytical models
KW - Bayesian methods
KW - Data models
KW - Manifolds
KW - Monitoring
KW - Training data
UR - http://www.scopus.com/inward/record.url?scp=85032751900&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85032751900&partnerID=8YFLogxK
U2 - 10.1109/MSP.2010.939733
DO - 10.1109/MSP.2010.939733
M3 - Article
AN - SCOPUS:85032751900
SN - 1053-5888
VL - 28
SP - 39
EP - 51
JO - IEEE Signal Processing Magazine
JF - IEEE Signal Processing Magazine
IS - 2
M1 - 5714381
ER -