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Kernel Principal Component Analysis (4)

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03:18

Theory of Matching Pursuit in Kernel Defined Feature Spaces

John Shawe-Taylor

Dec 20, 2008

 · 

4866 views

Lecture Series
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56:22

PERFORMANCE BOUNDS FOR KERNEL PCA

Gilles Blanchard

Apr 12, 2007

 · 

5379 views

Lecture Series
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08:53

Nonlinear principal component analysis for compression of spectral data

Faraz Madanchi,

Syamak Farajikhah

Nov 4, 2011

 · 

3970 views

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16:25

Eigenvector Sensitive Feature Selection For Spectral Clustering

Jiangtao Ren

Nov 30, 2011

 · 

3482 views

Lecture Series

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