1176 search results - page 38 / 236 » Sparse reward processes |
118
Voted
CORR
2010
Springer
15 years 3 months ago
2010
Springer
In this paper we revisit the sparse multiple measurement vector (MMV) problem, where the aim is to recover a set of jointly sparse multichannel vectors from incomplete measurement...
116
Voted
ICPR
2008
IEEE
16 years 5 months ago
2008
IEEE
This paper addresses the problem of 3D face recognition using spherical sparse representations. We first propose a fully automated registration process that permits to align the 3...
123
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ICIP
2009
IEEE
16 years 4 months ago
2009
IEEE
Fourier Transform Infrared (FT-IR) spectroscopic imaging is a potentially valuable tool for diagnosing breast and prostate cancer, but its clinical deployment is limited due to lo...
141
Voted
ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
121
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ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
A dependent hierarchical beta process (dHBP) is developed as a prior for data that may be represented in terms of a sparse set of latent features (dictionary elements), with covar...