55 search results - page 2 / 11 » Random Subspace Two-Dimensional PCA for Face Recognition |
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
Two Dimensional Locality Preserving Projection (2DLPP) is a recent extension of LPP, a popular face recognition algorithm. It has been shown that 2D-LPP performs better than PCA, ...
NIPS
2004
13 years 6 months ago
2004
Linear Discriminant Analysis (LDA) is a well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional d...
MVA
2007
13 years 6 months ago
2007
In many real-world applications such as face recognition and mobile robotics, we need to use an adaptive version of feature extraction techniques. In this paper, we introduce an a...
PR
2006
13 years 4 months ago
2006
In this paper, a novel subspace method called diagonal principal component analysis (DiaPCA) is proposed for face recognition. In contrast to standard PCA, DiaPCA directly seeks t...
IEEECIT
2010
IEEE
13 years 2 months ago
2010
IEEE
Face recognition has great demands in human recognition and recently it becomes one of the most important research areas of biometrics. In this paper, we present a novel layered fa...