55 search results - page 1 / 11 » Combining Fisher Linear Discriminants for Dissimilarity Repr... |
MCS
2000
Springer
13 years 8 months ago
2000
Springer
Abstract Investigating a data set of the critical size makes a classification task difficult. Studying dissimilarity data refers to such a problem, since the number of samples equa...
ECCV
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. The Fisher kernel (FK) is a generic framework which combines the benefits of generative and discriminative approaches. In the context of image classification the FK was s...
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...
PRL
2002
13 years 4 months ago
2002
In this paper, a classification task on dissimilarity representations is considered. A traditional way to discriminate between objects represented by dissimilarities is the neares...
ICDM
2009
IEEE
13 years 11 months ago
2009
IEEE
—We consider the problem of learning a linear combination of pre-specified kernel matrices in the Fisher discriminant analysis setting. Existing methods for such a task impose a...