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» Robust Principal Component Analysis for Computer Vision
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SPIESR
2004
117views Database» more  SPIESR 2004»
15 years 7 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 8 months 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 11 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»
15 years 4 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
17 years 1 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