318 search results - page 2 / 64 » Learning subspace kernels for classification |
JMLR
2006
13 years 4 months ago
2006
We present a kernel-based algorithm for hierarchical text classification where the documents are allowed to belong to more than one category at a time. The classification model is...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
This paper presents an approach to build Sparse Large Margin Classifiers (SLMC) by adding one more constraint to the standard Support Vector Machine (SVM) training problem. The ad...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
We address the problem of feature selection in a kernel space to select the most discriminative and informative features for classification and data analysis. This is a difficult ...
ICDM
2003
IEEE
13 years 10 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...
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
It was prescriptive that an image matrix was transformed into a vector before the kernel-based subspace learning. In this paper, we take the Kernel Discriminant Analysis (KDA) alg...