848 search results - page 63 / 170 » Feature selection in a kernel space |
PAA
2007
13 years 10 months ago
2007
Feature selection methods are often used to determine a small set of informative features that guarantee good classification results. Such procedures usually consist of two compon...
ICML
2002
IEEE
14 years 12 months ago
2002
IEEE
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
ICPR
2008
IEEE
15 years 9 days ago
2008
IEEE
In this work, we propose a multi-class classification strategy based on Fisher kernels. Fisher kernels combine the powers of discriminative and generative classifiers by mapping v...
IJCNN
2006
IEEE
14 years 5 months ago
2006
IEEE
— Recent work has revealed a close connection between certain information theoretic divergence measures and properties of Mercer kernel feature spaces. Specifically, it has been...
NIPS
2004
14 years 14 days ago
2004
In this paper we show that it is possible to model sensory impressions of consumers about beef meat. This is not a straightforward task; the reason is that when we are aiming to i...