160 search results - page 10 / 32 » Sparse decompositions in |
DCC
2004
IEEE
15 years 10 months ago
2004
IEEE
It is well-known that wavelet transforms provide sparse decompositions over many types of image regions but not over image singularities/edges that manifest themselves along curve...
104
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ML
2002
ACM
14 years 10 months ago
2002
ACM
A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret. A numb...
ICDM
2008
IEEE
15 years 4 months ago
2008
IEEE
Modern applications such as Internet traffic, telecommunication records, and large-scale social networks generate massive amounts of data with multiple aspects and high dimensiona...
101
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PPAM
2001
Springer
15 years 2 months ago
2001
Springer
This paper presents an overview of pARMS, a package for solving sparse linear systems on parallel platforms. Preconditioners constitute the most important ingredient in the solutio...
CORR
2004
Springer
14 years 10 months ago
2004
Springer
Non-negative matrix factorization (NMF) is a recently developed technique for finding parts-based, linear representations of non-negative data. Although it has successfully been a...