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» Dominant Sets and Pairwise Clustering
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142
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ICCV
2009
IEEE
1821views Computer Vision» more  ICCV 2009»
16 years 2 months ago
Feature Correspondence and Deformable Object Matching via Agglomerative Correspondence Clustering
We present an efficient method for feature correspondence and object-based image matching, which exploits both photometric similarity and pairwise geometric consistency from local ...
Minsu Cho (Seoul National University), Jungmin Lee...
89
Voted
CVPR
2007
IEEE
15 years 11 months ago
Fiber Tract Clustering on Manifolds With Dual Rooted-Graphs
We propose a manifold learning approach to fiber tract clustering using a novel similarity measure between fiber tracts constructed from dual-rooted graphs. In particular, to gene...
Andy Tsai, Carl-Fredrik Westin, Alfred O. Hero, Al...
83
Voted
ICML
2005
IEEE
15 years 10 months ago
Semi-supervised graph clustering: a kernel approach
Semi-supervised clustering algorithms aim to improve clustering results using limited supervision. The supervision is generally given as pairwise constraints; such constraints are...
Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Ray...
ICPR
2010
IEEE
15 years 1 months ago
Multiple Atlas Inference and Population Analysis with Spectral Clustering
In medical imaging, constructing an atlas and bringing an image set in a single common reference frame may easily lead the analysis to erroneous conclusions, especially when the po...
Giorgos Sfikas, Christian Heinrich, Christophoros ...
COLING
2008
14 years 11 months ago
The Choice of Features for Classification of Verbs in Biomedical Texts
We conduct large-scale experiments to investigate optimal features for classification of verbs in biomedical texts. We introduce a range of feature sets and associated extraction ...
Anna Korhonen, Yuval Krymolowski, Nigel Collier