436 search results - page 3 / 88 » Performance Optimization and Modeling of Blocked Sparse Kern... |
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PPSC
1997
15 years 28 days ago
1997
Sparse matrix-vector multiplication is an important kernel that often runs inefficiently on superscalar RISC processors. This paper describes techniques that increase instruction-...
PARA
2004
Springer
15 years 5 months ago
2004
Springer
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...
CORR
2010
Springer
14 years 11 months ago
2010
Springer
Recent work has demonstrated that using a carefully designed sensing matrix rather than a random one, can improve the performance of compressed sensing. In particular, a welldesign...
ICASSP
2008
IEEE
15 years 6 months ago
2008
IEEE
Many speaker verification (SV) systems combine multiple classifiers using score-fusion to improve system performance. For SVM classifiers, an alternative strategy is to combine...
118
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JMLR
2006
14 years 11 months ago
2006
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...