167 search results - page 10 / 34 » Discriminative Direction for Kernel Classifiers |
ICCV
2005
IEEE
14 years 11 months ago
2005
IEEE
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
JMLR
2010
13 years 4 months ago
2010
Fisher linear discriminant analysis (FDA) and its kernel extension--kernel discriminant analysis (KDA)--are well known methods that consider dimensionality reduction and classific...
ICML
2006
IEEE
14 years 10 months ago
2006
IEEE
The power and popularity of kernel methods stem in part from their ability to handle diverse forms of structured inputs, including vectors, graphs and strings. Recently, several m...
CVPR
2004
IEEE
14 years 12 months ago
2004
IEEE
In this paper, we introduce a novel discriminative feature space which is efficient not only for face detection but also for recognition. The face representation is based on local...
ECCV
2010
Springer
13 years 12 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...