475 search results - page 52 / 95 » A Distance-Based Packing Method for High Dimensional Data |
PR
2008
13 years 8 months ago
2008
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
CIVR
2003
Springer
14 years 2 months ago
2003
Springer
Feature selection for video retrieval applications is impractical with existing techniques, because of their high time complexity and their failure on the relatively sparse trainin...
CVPR
2005
IEEE
14 years 10 months ago
2005
IEEE
In [1], three popular subspace face recognition methods, PCA, Bayes, and LDA were analyzed under the same framework and an unified subspace analysis was proposed. However, since t...
ICTAI
2005
IEEE
14 years 2 months ago
2005
IEEE
In this paper, we propose a novel stochastic framework for unsupervised manifold learning. The latent variables are introduced, and the latent processes are assumed to characteriz...
DATESO
2010
13 years 6 months ago
2010
Abstract. The high dimensionality of the data generated by social networks has been a big challenge for researchers. In order to solve the problems associated with this phenomenon,...