848 search results - page 8 / 170 » Feature selection in a kernel space |
139
Voted
ICPR
2002
IEEE
16 years 3 months ago
2002
IEEE
In this paper we address two aspects related to the exploitation of Support Vector Machines (SVM) for classification in real application domains, such as the detection of objects ...
119
Voted
FSKD
2007
Springer
15 years 8 months ago
2007
Springer
A proposed KFCM-based fuzzy classifier was introduced. As for the process of constructing such classifier, firstly, the original sample space is mapped into a high dimensional fea...
127
Voted
ICIP
2009
IEEE
16 years 3 months ago
2009
IEEE
Scale-space representation of an image is a significant way to generate features for classification. However, for a specific classification task, the entire scale-space may not be...
136
Voted
SSPR
2010
Springer
15 years 1 months ago
2010
Springer
The aim of this paper is to find an answer to the question: What is the difference between dissimilarity-based classifications(DBCs) and other kernelbased classifications(KBCs)?...
149
Voted
JMLR
2008
15 years 2 months ago
2008
Regularized kernel discriminant analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. Its performance depends on the selection of kernel...