304 search results - page 56 / 61 » Combined image signal processing for CMOS image sensors |
JMLR
2010
14 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...
ICASSP
2009
IEEE
14 years 7 months ago
2009
IEEE
Landmark multidimensional scaling (LMDS) uses a subset of data (landmark points) to solve classical MDS, where the scalability is increased but the approximation is noise-sensitiv...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
We have studied two efficient sampling methods, Langevin and Hessian adapted Metropolis Hastings (MH), applied to a parameter estimation problem of the mathematical model (Lorent...
103
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LCTRTS
2005
Springer
15 years 2 months ago
2005
Springer
Software pipelining is a critical optimization for producing efficient code for VLIW/EPIC and superscalar processors in highperformance embedded applications such as digital sign...
124
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Publication
Non-negative matrix factorization (NMF) has become a standard tool in data mining, information retrieval, and signal processing. It is used to factorize a non-negative data matrix ...