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» Discriminant Analysis with Label Constrained Graph Partition
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ISNN
2007
Springer
10 years 10 months ago
Discriminant Analysis with Label Constrained Graph Partition
In this paper, a space partition method called “Label Constrained Graph Partition” (LCGP) is presented to solve the Sample-InterweavingPhenomenon in the original space. We firs...
Peng Guan, Yaoliang Yu, Liming Zhang
ICPR
2008
IEEE
11 years 5 months ago
Multiclass spectral clustering based on discriminant analysis
Many existing spectral clustering algorithms share a conventional graph partitioning criterion: normalized cuts (NC). However, one problem with NC is that it poorly captures the g...
Xi Li, Zhongfei Zhang, Yanguo Wang, Weiming Hu
MICCAI
2008
Springer
11 years 5 months ago
A Discriminative Model-Constrained Graph Cuts Approach to Fully Automated Pediatric Brain Tumor Segmentation in 3-D MRI
In this paper we present a fully automated approach to the segmentation of pediatric brain tumors in multi-spectral 3-D magnetic resonance images. It is a top-down segmentation app...
Michael Wels, Gustavo Carneiro, Alexander Aplas,...
PR
2000
153views more  PR 2000»
10 years 3 months ago
A region-level motion-based graph representation and labeling for tracking a spatial image partition
This paper addresses two image sequence analysis issues under a common framework. These tasks are, "rst, motion-based segmentation and second, updating and tracking over time...
Marc Gelgon, Patrick Bouthemy
ICCV
2007
IEEE
11 years 6 months ago
Classification of Weakly-Labeled Data with Partial Equivalence Relations
In many vision problems, instead of having fully labeled training data, it is easier to obtain the input in small groups, where the data in each group is constrained to be from th...
Sanjiv Kumar, Henry A. Rowley
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