110 search results - page 17 / 22 » Component-Based Cascade Linear Discriminant Analysis for Fac... |
AUSAI
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Principal Component Analysis (PCA) plus Linear Discriminant Analysis (LDA) (PCA+LDA) and LDA/QR are both two-stage methods that deal with the small sample size (SSS) prob...
PAMI
2007
13 years 7 months ago
2007
—We address the problem of comparing sets of images for object recognition, where the sets may represent variations in an object’s appearance due to changing camera pose and li...
ICPR
2010
IEEE
13 years 7 months ago
2010
IEEE
—Patch-based face recognition is a recent method which uses the idea of analyzing face images locally, in order to reduce the effects of illumination changes and partial occlusio...
ICPR
2008
IEEE
14 years 1 months ago
2008
IEEE
In this paper, a novel subspace learning method, semi-supervised marginal discriminant analysis (SMDA), is proposed for classification. SMDA aims at maintaining the intrinsic neig...
ICMCS
2006
IEEE
14 years 1 months ago
2006
IEEE
In this paper, we propose a novel feature extraction method for face recognition. This method is based on Discrete Cosine Transform (DCT), Energy Probability (EP), and Linear Disc...