Statistical shape analysis using kernel PCA | Zendy

Yogesh Rathi | Zendy; Samuel Dambreville | Zendy; Allen Tannenbaum | Zendy

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Statistical shape analysis using kernel PCA

Author(s) -

Yogesh Rathi,

Samuel Dambreville,

Allen Tannenbaum

Publication year - 2006

Publication title -

proceedings of spie, the international society for optical engineering/proceedings of spie

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.192

H-Index - 176

eISSN - 1996-756X

pISSN - 0277-786X

DOI - 10.1117/12.641417

Subject(s) - pattern recognition (psychology) , principal component analysis , artificial intelligence , kernel principal component analysis , computer science , kernel (algebra) , feature vector , robustness (evolution) , linear discriminant analysis , cluster analysis , heat kernel signature , feature extraction , kernel method , feature (linguistics) , support vector machine , mathematics , active shape model , biochemistry , chemistry , linguistics , philosophy , combinatorics , segmentation , gene

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