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» Sparse Recovery Using Sparse Random Matrices
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ICASSP
2010
IEEE
14 years 10 months ago
Gradient Polytope Faces Pursuit for large scale sparse recovery problems
Polytope Faces Pursuit is a greedy algorithm that performs Basis Pursuit with similar order complexity to Orthogonal Matching Pursuit. The algorithm adds one basis vector at a tim...
Aris Gretsistas, Ivan Damnjanovic, Mark D. Plumble...
FGR
2011
IEEE
288views Biometrics» more  FGR 2011»
14 years 1 months ago
Facial action unit recognition with sparse representation
This paper presents a novel framework for recognition of facial action unit (AU) combinations by viewing the classification as a sparse representation problem. Based on this framew...
Mohammad H. Mahoor, Mu Zhou, Kevin L. Veon, Seyed ...
ICASSP
2010
IEEE
14 years 10 months ago
Kronecker product matrices for compressive sensing
Compressive sensing (CS) is an emerging approach for acquisition of signals having a sparse or compressible representation in some basis. While CS literature has mostly focused on...
Marco F. Duarte, Richard G. Baraniuk
PARA
2004
Springer
15 years 3 months ago
Optimization of a Statically Partitioned Hypermatrix Sparse Cholesky Factorization
The sparse Cholesky factorization of some large matrices can require a two dimensional partitioning of the matrix. The sparse hypermatrix storage scheme produces a recursive 2D par...
José R. Herrero, Juan J. Navarro
APPROX
2008
Springer
102views Algorithms» more  APPROX 2008»
14 years 11 months ago
Dense Fast Random Projections and Lean Walsh Transforms
Random projection methods give distributions over k
Edo Liberty, Nir Ailon, Amit Singer