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ICML
2006
IEEE
16 years 2 months ago
Semi-supervised nonlinear dimensionality reduction
The problem of nonlinear dimensionality reduction is considered. We focus on problems where prior information is available, namely, semi-supervised dimensionality reduction. It is...
Xin Yang, Haoying Fu, Hongyuan Zha, Jesse L. Barlo...
TNN
2008
105views more  TNN 2008»
15 years 1 months ago
Generalized Linear Discriminant Analysis: A Unified Framework and Efficient Model Selection
Abstract--High-dimensional data are common in many domains, and dimensionality reduction is the key to cope with the curse-of-dimensionality. Linear discriminant analysis (LDA) is ...
Shuiwang Ji, Jieping Ye
126
Voted
SDM
2007
SIAM
108views Data Mining» more  SDM 2007»
15 years 3 months ago
Semi-Supervised Dimensionality Reduction
Dimensionality reduction is among the keys in mining highdimensional data. This paper studies semi-supervised dimensionality reduction. In this setting, besides abundant unlabeled...
Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen
108
Voted
KDD
2002
ACM
146views Data Mining» more  KDD 2002»
16 years 2 months ago
Non-linear dimensionality reduction techniques for classification and visualization
Michail Vlachos, Carlotta Domeniconi, Dimitrios Gu...
ICIP
2005
IEEE
16 years 3 months ago
Nonlinear dimensionality reduction for classification using kernel weighted subspace method
We study the use of kernel subspace methods that learn low-dimensional subspace representations for classification tasks. In particular, we propose a new method called kernel weigh...
Guang Dai, Dit-Yan Yeung