99 search results - page 3 / 20 » Generalization of the Kantorovich Method of Dimensional Redu... |
SDM
2007
SIAM
13 years 10 months ago
2007
SIAM
Nonlinear dimensionality reduction methods often rely on the nearest-neighbors graph to extract low-dimensional embeddings that reliably capture the underlying structure of high-d...
ICDM
2003
IEEE
14 years 1 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...
NIPS
2008
13 years 10 months ago
2008
In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. These representa...
ICDE
2002
IEEE
14 years 1 months ago
2002
IEEE
We consider the use of data reduction techniques for the problem of approximate query answering. We focus on applications for which accurate answers to selective queries are requi...
SLSFS
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. Mutual Information (MI) is a long studied measure of information content, and many attempts to apply it to feature extraction and stochastic coding have been made. Howeve...