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» On Shift-Invariant Sparse Coding
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NIPS
2008
13 years 9 months ago
Differentiable Sparse Coding
Prior work has shown that features which appear to be biologically plausible as well as empirically useful can be found by sparse coding with a prior such as a laplacian (L1) that...
J. Andrew Bagnell, David M. Bradley
ICASSP
2010
IEEE
13 years 8 months ago
Hierarchical dictionary learning for invariant classification
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
Leah Bar, Guillermo Sapiro
PROPERTYTESTING
2010
13 years 5 months ago
Some Recent Results on Local Testing of Sparse Linear Codes
We study the local testability of linear codes. We first reformulate this question in the language of tolerant linearity testing under a non-uniform distribution. We then study th...
Swastik Kopparty, Shubhangi Saraf
ICASSP
2008
IEEE
14 years 2 months ago
Non-negative sparse image coder via simulated annealing and pseudo-inversion
We propose a sparse non-negative image coding based on simulated annealing and matrix pseudo-inversion. We show that sparsity and non-negativity are both important to obtain part-...
Ramin Pichevar, Jean Rouat
ECCV
2010
Springer
13 years 8 months ago
Tensor Sparse Coding for Region Covariances
Sparse representation of signals has been the focus of much research in the recent years. A vast majority of existing algorithms deal with vectors, and higher
Ravishankar Sivalingam, Daniel Boley, Vassilios Mo...