Sciweavers

99 search results - page 7 / 20
» Generalization of the Kantorovich Method of Dimensional Redu...
Sort
View
TSMC
2008
182views more  TSMC 2008»
14 years 9 months ago
Incremental Linear Discriminant Analysis for Face Recognition
Abstract--Dimensionality reduction methods have been successfully employed for face recognition. Among the various dimensionality reduction algorithms, linear (Fisher) discriminant...
Haitao Zhao, Pong Chi Yuen
SIAMMAX
2010
189views more  SIAMMAX 2010»
14 years 4 months ago
Fast Algorithms for the Generalized Foley-Sammon Discriminant Analysis
Linear Discriminant Analysis (LDA) is one of the most popular approaches for feature extraction and dimension reduction to overcome the curse of the dimensionality of the high-dime...
Lei-Hong Zhang, Li-Zhi Liao, Michael K. Ng
CVPR
2007
IEEE
15 years 3 months ago
A Graph Reduction Method for 2D Snake Problems
Energy-minimizing active contour models (snakes) have been proposed for solving many computer vision problems such as object segmentation, surface reconstruction, and object track...
Jianhua Yan, Keqi Zhang, Chengcui Zhang, Shu-Ching...
AAAI
2008
14 years 11 months ago
AnalogySpace: Reducing the Dimensionality of Common Sense Knowledge
We are interested in the problem of reasoning over very large common sense knowledge bases. When such a knowledge base contains noisy and subjective data, it is important to have ...
Robert Speer, Catherine Havasi, Henry Lieberman
PR
2006
147views more  PR 2006»
14 years 9 months ago
Robust locally linear embedding
In the past few years, some nonlinear dimensionality reduction (NLDR) or nonlinear manifold learning methods have aroused a great deal of interest in the machine learning communit...
Hong Chang, Dit-Yan Yeung