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» On sparse signal representations
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SIAMSC
2008
193views more  SIAMSC 2008»
15 years 6 months ago
Exact and Approximate Sparse Solutions of Underdetermined Linear Equations
Abstract. In this paper, we empirically investigate the NP-hard problem of finding sparsest solutions to linear equation systems, i.e., solutions with as few nonzeros as possible. ...
Sadegh Jokar, Marc E. Pfetsch
184
Voted
PAMI
2012
13 years 8 months ago
Image Signature: Highlighting Sparse Salient Regions
—We introduce a simple image descriptor referred to as the image signature. We show, within the theoretical framework of sparse signal mixing, that this quantity spatially approx...
Xiaodi Hou, Jonathan Harel, Christof Koch
141
Voted
MICCAI
2009
Springer
16 years 7 months ago
Topological Characterization of Signal in Brain Images Using Min-Max Diagrams
Abstract. We present a novel computational framework for characterizing signal in brain images via nonlinear pairing of critical values of the signal. Among the astronomically larg...
Moo K. Chung, Vikas Singh, Peter T. Kim, Kim M....
RAS
2007
148views more  RAS 2007»
15 years 5 months ago
Including probabilistic target detection attributes into map representations
Range measuring sensors can play an extremely important role in robot navigation. All range measuring devices rely on a ‘detection criterion’ made in the presence of noise, to...
John Mullane, Ebi Jose, Martin David Adams, Wijeru...
ICIP
2008
IEEE
16 years 7 months ago
Spatio-spectral reconstruction of the multispectral datacube using sparse recovery
Multispectral scene information is useful for radiometric graphics, material identification and imaging systems simulation. The multispectral scene can be described as a datacube,...
Manu Parmar, Steven Lansel, Brian A. Wandell