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PAMI
2010
192views more  PAMI 2010»
13 years 6 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
ICMCS
2005
IEEE
182views Multimedia» more  ICMCS 2005»
14 years 1 months ago
An integrated approach for generic object detection using kernel PCA and boosting
In this paper we present a novel framework for generic object class detection by integrating Kernel PCA with AdaBoost. The classifier obtained in this way is invariant to changes...
Saad Ali, Mubarak Shah
APGV
2009
ACM
127views Visualization» more  APGV 2009»
14 years 6 days ago
A ghosting artifact detector for interpolated image quality assessment
—We present a no-reference image quality metric for image interpolation. The approach is capable of detecting blurry regions as well as ghosting artifacts, e.g., in image based r...
Kai Berger, Christian Lipski, Christian Linz, Anit...
IJON
2007
166views more  IJON 2007»
13 years 7 months ago
Kernel PCA for similarity invariant shape recognition
We present in this paper a novel approach for shape description based on kernel principal component analysis (KPCA). The strength of this method resides in the similarity (rotatio...
Hichem Sahbi
CVGIP
2006
138views more  CVGIP 2006»
13 years 7 months ago
Animal gaits from video: Comparative studies
We present a method for animating 3D models of animals from existing live video sequences such as wild life documentaries. Videos are first segmented into binary images on which p...
Laurent Favreau, Lionel Revéret, Christine ...