145 search results - page 21 / 29 » On Constrained Sparse Matrix Factorization |
111
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PAMI
2012
13 years 7 days ago
2012
—Modeling data with linear combinations of a few elements from a learned dictionary has been the focus of much recent research in machine learning, neuroscience, and signal proce...
SIAMJO
2008
14 years 9 months ago
2008
We present an algorithm for large-scale equality constrained optimization. The method is based on a characterization of inexact sequential quadratic programming (SQP) steps that ca...
110
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CORR
2011
Springer
14 years 1 months ago
2011
Springer
We analyze and improve low rank representation (LRR), the state-of-the-art algorithm for subspace segmentation of data. We prove that for the noiseless case, the optimization mode...
SIAMSC
2008
14 years 9 months ago
2008
In this paper we present a new incomplete factorization of a square matrix into triangular factors in which we get standard LU or LDLT factors (direct factors) and their inverses (...
IPPS
2007
IEEE
15 years 4 months ago
2007
IEEE
— We consider memory subsystem optimizations for improving the performance of sparse scientific computation while reducing the power consumed by the CPU and memory. We first co...