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ICIP
2005
IEEE
16 years 5 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
ICDM
2003
IEEE
153views Data Mining» more  ICDM 2003»
15 years 9 months ago
Dimensionality Reduction Using Kernel Pooled Local Discriminant Information
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...
Peng Zhang, Jing Peng, Carlotta Domeniconi
SCIA
2005
Springer
15 years 9 months ago
The Tangent Kernel Approach to Illumination-Robust Texture Classification
Serguei Verzakov, Pavel Paclík, Robert P. W...