191 search results - page 5 / 39 » Generalized Power Method for Sparse Principal Component Anal... |
ICIP
2004
IEEE
15 years 11 months ago
2004
IEEE
We propose a mixture of multiple linear models, also known as hybrid linear model, for a sparse representation of an image. This is a generalization of the conventional KarhunenLo...
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ICPR
2006
IEEE
2006
IEEE
Regularized Locality Preserving Learning of Pre-Image Problem in Kernel Principal Component Analysis
15 years 3 months ago
In this paper, we address the pre-image problem in kernel principal component analysis (KPCA). The preimage problem finds a pattern as the pre-image of a feature vector defined in...
ECML
2007
Springer
15 years 1 months ago
2007
Springer
Recently, a successful extension of Principal Component Analysis for structured input, such as sequences, trees, and graphs, has been proposed. This allows the embedding of discret...
ICIP
2002
IEEE
15 years 11 months ago
2002
IEEE
We present a hybrid and parallel system based on artificial neural networks for a face invariant classifier and general pattern recognition problems. A set of face features is ext...
NIPS
1993
14 years 11 months ago
1993
We present a new algorithm for eliminating excess parameters and improving network generalization after supervised training. The method, \Principal Components Pruning (PCP)",...