55 search results - page 3 / 11 » Combining Fisher Linear Discriminants for Dissimilarity Repr... |
ICDAR
2009
IEEE
14 years 2 months ago
2009
IEEE
The Fisher kernel is a generic framework which combines the benefits of generative and discriminative approaches to pattern classification. In this contribution, we propose to a...
CVPR
2007
IEEE
14 years 1 months ago
2007
IEEE
Within the field of pattern classification, the Fisher kernel is a powerful framework which combines the strengths of generative and discriminative approaches. The idea is to ch...
FGR
2006
IEEE
13 years 11 months ago
2006
IEEE
Gabor feature has been widely recognized as one of the best representations for face recognition. However, traditionally, it has to be reduced in dimension due to curse of dimensi...
IPMI
1999
Springer
14 years 8 months ago
1999
Springer
The goal of this work is to develop an approach to shape representation and classification that will allow us to detect and quantify differences in shape of anatomical structures d...
MVA
2007
13 years 8 months ago
2007
Non-negative matrix factorization (NMF) is a powerful feature extraction method for finding parts-based, linear representations of non-negative data . Inherently, it is unsupervis...