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» Robust Principal Component Analysis for Computer Vision
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SPIESR
2004
117views Database» more  SPIESR 2004»
14 years 12 months ago
Image database clustering with SVM-based class personalization
To allow efficient browsing of large image collections, we have to provide a summary of its visual content. We present in this paper a robust approach to organize image databases:...
Bertrand Le Saux, Nozha Boujemaa
CVPR
2012
IEEE
13 years 29 days ago
Mode-seeking on graphs via random walks
Mode-seeking has been widely used as a powerful data analysis technique for clustering and filtering in a metric feature space. We introduce a versatile and efficient modeseekin...
Minsu Cho, Kyoung Mu Lee
GLVLSI
2003
IEEE
202views VLSI» more  GLVLSI 2003»
15 years 3 months ago
System level design of real time face recognition architecture based on composite PCA
Design and implementation of a fast parallel architecture based on an improved principal component analysis (PCA) method called Composite PCA suitable for real-time face recogniti...
Rajkiran Gottumukkal, Vijayan K. Asari
PAMI
2010
192views more  PAMI 2010»
14 years 9 months ago
Multiway Spectral Clustering with Out-of-Sample Extensions through Weighted Kernel PCA
—A new formulation for multiway spectral clustering is proposed. This method corresponds to a weighted kernel principal component analysis (PCA) approach based on primal-dual lea...
Carlos Alzate, Johan A. K. Suykens

Publication
255views
16 years 5 months ago
3-D Shape Measurement Method with Modulated Slit Light Robust for Interreflection and Subsurface Scattering
We propose a method to accurately measure the shape of objects by suppressing the effect of indirect reflection caused by the interreflection and subsurface scattering. We use a ...
Tatsuhiko Furuse, Shinsaku Hiura, Kosuke Sato