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ICML
2009
IEEE
14 years 9 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...
ISBI
2009
IEEE
14 years 3 months ago
2009
IEEE
The inverse problem with distributed dipoles models in M/EEG is strongly ill-posed requiring to set priors on the solution. Most common priors are based on a convenient ℓ2 norm....
JMLR
2010
13 years 7 months ago
2010
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
TC
1998
13 years 8 months ago
1998
—High instruction cache hit rates are key to high performance. One known technique to improve the hit rate of caches is to minimize cache interference by improving the layout of ...
TMM
2002
13 years 8 months ago
2002
A joint source-channel coding (JSCC) scheme for robust progressive image transmission over broadband wireless channels using orthogonal frequency division multiplexing (OFDM) syste...