495 search results - page 38 / 99 » Sparse representation algorithms based on mean-field approxi... |
GBRPR
2005
Springer
15 years 3 months ago
2005
Springer
This work discusses the issue of approximation in point set matching problems. In general, one may have two classes of approximations when tackling a matching problem: a representa...
93
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AICOM
2006
14 years 10 months ago
2006
This paper introduces a compact representation which helps to avoid the exponential blow-up in space of the Least Common Subsumer (lcs) of two ALEconcept descriptions. Based on th...
113
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FPGA
2000
ACM
15 years 1 months ago
2000
ACM
A method for evaluating and constructing sparse crossbars which are both area efficient and highly routable is presented. The evaluation method uses a network flow algorithm to ac...
JMLR
2010
14 years 8 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...
ICASSP
2008
IEEE
15 years 4 months ago
2008
IEEE
The emerging theory of compressed sensing (CS) provides a universal signal detection approach for sparse signals at sub-Nyquist sampling rates. A small number of random projection...