208 search results - page 18 / 42 » Robust Kernel Principal Component Analysis |
ICMCS
2006
IEEE
14 years 1 months ago
2006
IEEE
It is well-known that supervised learning techniques such as linear discriminant analysis (LDA) often suffer from the so called small sample size problem when apply to solve face ...
ICMCS
2005
IEEE
14 years 1 months ago
2005
IEEE
Principal Component Analysis (PCA) has been widely used to extract features for pattern recognition problems such as object recognition. Oliva and Torralba used “spatial envelop...
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
A new method for classification is proposed. This is based on kernel orthonormalized partial least squares (PLS) dimensionality reduction of the original data space followed by a ...
ECCV
2008
Springer
13 years 8 months ago
2008
Springer
—This paper presents a fast part-based subspace selection algorithm, termed the binary sparse nonnegative matrix factorization (B-SNMF). Both the training process and the testing...
NIPS
2003
13 years 9 months ago
2003
Eigenvoice speaker adaptation has been shown to be effective when only a small amount of adaptation data is available. At the heart of the method is principal component analysis (...