3256 search results - page 232 / 652 » Learning Linear Transformations |
167
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ISNN
2007
Springer
16 years 20 days ago
2007
Springer
Manifold learning algorithms have been proven to be capable of discovering some nonlinear structures. However, it is hard for them to extend to test set directly. In this paper, a ...
177
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ICDM
2005
IEEE
16 years 4 days ago
2005
IEEE
The preference model introduced in this paper gives a natural framework and a principled solution for a broad class of supervised learning problems with structured predictions, su...
166
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FOCS
1999
IEEE
15 years 10 months ago
1999
IEEE
Mixtures of Gaussians are among the most fundamental and widely used statistical models. Current techniques for learning such mixtures from data are local search heuristics with w...
170
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ICANN
2010
Springer
15 years 7 months ago
2010
Springer
Abstract. In this paper we elaborate on a kernel extension to tensorbased data analysis. The proposed ideas find applications in supervised learning problems where input data have ...
195
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ICCV
2003
IEEE
16 years 8 months ago
2003
IEEE
Previous works have demonstrated that the face recognition performance can be improved significantly in low dimensional linear subspaces. Conventionally, principal component analy...