100 search results - page 4 / 20 » Face Recognition Using a Color Subspace LDA Approach |
AUSAI
2005
Springer
13 years 11 months ago
2005
Springer
All the traditional PCA-based and LDA-based methods are based on the analysis of vectors. So, it is difficult to evaluate the covariance matrices in such a high-dimensional vector ...
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...
ICPR
2006
IEEE
13 years 11 months ago
2006
IEEE
Linear Discriminant Analysis (LDA) is a widely used technique for pattern classification. It seeks the linear projection of the data to a low dimensional subspace where the data ...
ICNC
2005
Springer
13 years 10 months ago
2005
Springer
Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) techniques are important and well-developed area of image recognition and to date many linear discriminati...
CAIP
2003
Springer
13 years 10 months ago
2003
Springer
Fisher linear discriminant analysis (FLDA) based on variance ratio is compared with scatter linear discriminant (SLDA) analysis based on determinant ratio. It is shown that each o...