81 search results - page 3 / 17 » Multi-Class Linear Feature Extraction by Nonlinear PCA |
JMLR
2010
13 years 2 days ago
2010
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
ICML
2003
IEEE
14 years 6 months ago
2003
IEEE
In this paper, we address the problem of finding the pre-image of a feature vector in the feature space induced by a kernel. This is of central importance in some kernel applicatio...
JCIT
2008
13 years 5 months ago
2008
Image recognition using various image classifiers is an active research area. In this paper we will describe a new face recognition method based on PCA (Principal Component Analys...
ICIP
2009
IEEE
14 years 6 months ago
2009
IEEE
In video surveillance, the sizes of face images are very small. However, few works have been done to investigate scalerobust face recognition. Our experiments on appearancebased m...
MLDM
2007
Springer
13 years 11 months ago
2007
Springer
Support vector machine (SVM) has received much attention in feature selection recently because of its ability to incorporate kernels to discover nonlinear dependencies between feat...