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116
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CVPR
2008
IEEE
16 years 6 months ago
2008
IEEE
Learning a discriminant becomes substantially more difficult when the datasets are high-dimensional and the available samples are few. This is often the case in computer vision an...
168
Voted
CVPR
2008
IEEE
16 years 6 months ago
2008
IEEE
We propose a scheme to introduce directionality in the Random Walker algorithm for image segmentation. In particular, we extend the optimization framework of this algorithm to com...
142
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ICCV
2003
IEEE
16 years 6 months ago
2003
IEEE
Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
157
Voted
ICCV
1999
IEEE
16 years 6 months ago
1999
IEEE
An automated method for left ventricle detection in MR cardiac images is presented. Ventricle detection is the rst step in a fully automated segmentation system used to compute vo...
144
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ECCV
2002
Springer
16 years 6 months ago
2002
Springer
Principal ComponentAnalysis (PCA) has been successfully applied to construct linear models of shape, graylevel, and motion. In particular, PCA has been widely used to model the var...