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ICML
2010
IEEE
13 years 6 months ago
Learning Fast Approximations of Sparse Coding
In Sparse Coding (SC), input vectors are reconstructed using a sparse linear combination of basis vectors. SC has become a popular method for extracting features from data. For a ...
Karol Gregor, Yann LeCun
FGR
2011
IEEE
340views Biometrics» more  FGR 2011»
12 years 8 months ago
Action unit detection using sparse appearance descriptors in space-time video volumes
— Recently developed appearance descriptors offer the opportunity for efficient and robust facial expression recognition. In this paper we investigate the merits of the family o...
Bihan Jiang, Michel François Valstar, Maja ...
CORR
2010
Springer
166views Education» more  CORR 2010»
13 years 5 months ago
The dynamics of message passing on dense graphs, with applications to compressed sensing
`Approximate message passing' algorithms proved to be extremely effective in reconstructing sparse signals from a small number of incoherent linear measurements. Extensive num...
Mohsen Bayati, Andrea Montanari
LCPC
1998
Springer
13 years 9 months ago
HPF-2 Support for Dynamic Sparse Computations
There is a class of sparse matrix computations, such as direct solvers of systems of linear equations, that change the fill-in (nonzero entries) of the coefficient matrix, and invo...
Rafael Asenjo, Oscar G. Plata, Juan Touriño...
ISCAS
2006
IEEE
124views Hardware» more  ISCAS 2006»
13 years 11 months ago
Systematic design flow for dynamic data management in visual texture decoder of MPEG-4
Abstract— There is a clear trend of future embedded systems in moving toward wireless, multimedia, multi-functional and ubiquitous applications. This emerges new challenges in th...
Alexandros Bartzas, Miguel Peón Quiró...