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» On sparse signal representations
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ICPR
2008
IEEE
15 years 6 months ago
Robust estimation of foreground in surveillance videos by sparse error estimation
Frames of videos with static background and dynamic foreground can be viewed as samples of signals that vary slowly in time with sparse corruption caused by foreground objects. We...
Mert Dikmen, Thomas S. Huang
ICASSP
2011
IEEE
14 years 3 months ago
Sparse variable reduced rank regression via Stiefel optimization
Reduced rank regression (RRR) has found application in various fields of signal processing. In this paper we propose a novel extension of the RRR model which we call sparse varia...
Magnus O. Ulfarsson, Victor Solo
ICASSP
2011
IEEE
14 years 3 months ago
Sparse video recovery using Linearly Constrained Gradient Projection
This paper concerns the reconstruction of a temporally-varying scene from a video sequence of noisy linear projections. Assuming that each video frame is sparse or compressible in...
Daniel Thompson, Zachary T. Harmany, Roummel F. Ma...
CORR
2004
Springer
152views Education» more  CORR 2004»
14 years 11 months ago
Non-negative matrix factorization with sparseness constraints
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...
Patrik O. Hoyer
CAP
2010
14 years 7 months ago
Parallel operations of sparse polynomials on multicores: I. multiplication and Poisson bracket
The multiplication of the sparse multivariate polynomials using the recursive representations is revisited to take advantage on the multicore processors. We take care of the memor...
Mickaël Gastineau