318 search results - page 21 / 64 » Learning subspace kernels for classification |
GBRPR
2007
Springer
13 years 11 months ago
2007
Springer
We propose in this article an image classification technique based on kernel methods and graphs. Our work explores the possibility of applying marginalized kernels to image process...
JMLR
2008
13 years 7 months ago
2008
We propose a highly efficient framework for penalized likelihood kernel methods applied to multiclass models with a large, structured set of classes. As opposed to many previous a...
ICIAR
2004
Springer
14 years 29 days ago
2004
Springer
Abstract. In this paper, several one-class classification methods are investigated in pixel space and PCA (Principal component Analysis) subspace having in mind the need of finding...
NIPS
2001
13 years 9 months ago
2001
This article presents a Support Vector Machine (SVM) like learning system to handle multi-label problems. Such problems are usually decomposed into many two-class problems but the...
JIIS
2006
13 years 7 months ago
2006
Kernel Canonical Correlation Analysis (KCCA) is a method of correlating linear relationship between two variables in a kernel defined feature space. A machine learning algorithm b...