454 search results - page 26 / 91 » Principal Component Analysis Based on L1-Norm Maximization |
ICIP
2003
IEEE
14 years 9 months ago
2003
IEEE
Principal Component Analysis (PCA) is a well-established technique in image processing and pattern recognition. Incremental PCA and robust PCA are two interesting problems with nu...
GRAPHITE
2007
ACM
13 years 11 months ago
2007
ACM
We present a method for creating a geometry-dependent basis for precomputed radiance transfer. Unlike previous PRT bases, ours is derived from principal component analysis of the ...
NIPS
2004
13 years 9 months ago
2004
This paper investigates the effect of Kernel Principal Component Analysis (KPCA) within the classification framework, essentially the regularization properties of this dimensional...
NIPS
2003
13 years 9 months ago
2003
We consider the problem of reconstructing patterns from a feature map. Learning algorithms using kernels to operate in a reproducing kernel Hilbert space (RKHS) express their solu...
CSDA
2008
13 years 7 months ago
2008
A Bayesian approach to analyze the modes of variation in a set of curves is suggested. It is based on a generative model thus allowing for noisy and sparse observations of curves....