76 search results - page 7 / 16 » Optimally Regularised Kernel Fisher Discriminant Analysis |
ICDM
2003
IEEE
14 years 1 months ago
2003
IEEE
We study the use of kernel subspace methods for learning low-dimensional representations for classification. We propose a kernel pooled local discriminant subspace method and com...
ACCV
2007
Springer
14 years 2 months ago
2007
Springer
A novel kernel discriminant transformation (KDT) algorithm based on the concept of canonical differences is presented for automatic face recognition applications. For each individu...
CVPR
2010
IEEE
14 years 26 days ago
2010
IEEE
Kernel methods provide an efficient mechanism to derive nonlinear algorithms. In classification problems as well as in feature extraction, kernel-based approaches map the original...
ISCAS
2006
IEEE
14 years 2 months ago
2006
IEEE
— this paper presents a novel image feature extraction and recognition method two dimensional linear discriminant analysis (2DLDA) in a much smaller subspace. Image representatio...
ICIP
2007
IEEE
14 years 2 months ago
2007
IEEE
In this paper a novel non-linear subspace method for face verification is proposed. The problem of face verification is considered as a two-class problem (genuine versus imposto...