51 search results - page 4 / 11 » Regularization of LDA for Face Recognition: A Post-processin... |
ICCV
2007
IEEE
14 years 7 months ago
2007
IEEE
Subspace learning based face recognition methods have attracted considerable interests in recent years, including Principal Component Analysis (PCA), Linear Discriminant Analysis ...
CAIP
2005
Springer
13 years 11 months ago
2005
Springer
Linear Discriminant Analysis (LDA) is widely known feature extraction technique that aims at creating a feature set of enhanced discriminatory power. It was addressed by many resea...
IJCV
2006
13 years 5 months ago
2006
Subspacefacerecognitionoftensuffersfromtwoproblems:(1)thetrainingsamplesetissmallcompared with the high dimensional feature vector; (2) the performance is sensitive to the subspace...
ICCV
2003
IEEE
14 years 7 months ago
2003
IEEE
Previous works have demonstrated that the face recognition performance can be improved significantly in low dimensional linear subspaces. Conventionally, principal component analy...
NIPS
2004
13 years 7 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...