17 search results - page 1 / 4 » A new optimization criterion for generalized discriminant an... |
ICDM
2003
IEEE
13 years 10 months ago
2003
IEEE
PR
2008
13 years 4 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...
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
We simultaneously approach two tasks of nonlinear discriminant analysis and kernel selection problem by proposing a unified criterion, Fisher+Kernel Criterion. In addition, an eff...
IJCNLP
2005
Springer
13 years 10 months ago
2005
Springer
Research on linear text segmentation has been an on-going focus in NLP for the last decade, and it has great potential for a wide range of applications such as document summarizati...
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
Many learning applications are characterized by high dimensions. Usually not all of these dimensions are relevant and some are redundant. There are two main approaches to reduce d...