132 search results - page 19 / 27 » Sparse Boolean Matrix Factorizations |
111
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PAMI
2012
13 years 8 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...
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...
ESANN
2008
14 years 11 months ago
2008
In our previous work, we have developed sparse least squares support vector regressors (sparse LS SVRs) trained in the primal form in the reduced empirical feature space. In this p...