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161
Voted
CVPR
2004
IEEE
16 years 5 months ago
2004
IEEE
We consider the problem of clustering data lying on multiple subspaces of unknown and possibly different dimensions. We show that one can represent the subspaces with a set of pol...
135
Voted
CVPR
2006
IEEE
16 years 5 months ago
2006
IEEE
Segmentation involves separating an object from the background. In this work, we propose a novel segmentation method combining image information with prior shape knowledge, within...
142
Voted
ICCV
2007
IEEE
16 years 5 months ago
2007
IEEE
Most previous motion deblurring methods restore the degraded image assuming a shift-invariant linear blur filter. These methods are not applicable if the blur is caused by spatial...
151
Voted
ECCV
2006
Springer
16 years 5 months ago
2006
Springer
Many linear discriminant analysis (LDA) and kernel Fisher discriminant analysis (KFD) methods are based on the restrictive assumption that the data are homoscedastic. In this paper...
136
Voted
ECCV
2006
Springer
16 years 5 months ago
2006
Springer
Abstract. We address the problem of comparing sets of images for object recognition, where the sets may represent arbitrary variations in an object's appearance due to changin...