427 search results - page 20 / 86 » Multi-Stage Optimal Component Analysis |
129
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JMLR
2012
13 years 4 months ago
2012
We study sparse principal components analysis in the high-dimensional setting, where p (the number of variables) can be much larger than n (the number of observations). We prove o...
125
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OOPSLA
2010
Springer
15 years 10 days ago
2010
Springer
Accurately predicting program behaviors (e.g., locality, dependency, method calling frequency) is fundamental for program optimizations and runtime adaptations. Despite decades of...
140
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CORR
2010
Springer
15 years 2 months ago
2010
Springer
In this paper, we study the problem of recovering a low-rank matrix (the principal components) from a highdimensional data matrix despite both small entry-wise noise and gross spar...
108
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IJCNN
2006
IEEE
15 years 8 months ago
2006
IEEE
Abstract— Independent subspace analysis (ISA) is a generalization of independent component analysis (ICA), where multidimensional ICA is incorporated with the idea of invariant f...
119
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PLDI
2003
ACM
15 years 7 months ago
2003
ACM
As more complex DSP algorithms are realized in practice, an increasing need for high-level stream abstractions that can be compiled without sacrificing efficiency. Toward this en...