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» A probabilistic framework for semi-supervised clustering
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153
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CVPR
2011
IEEE
14 years 9 months ago
Sparsity-based Image Denoising via Dictionary Learning and Structural Clustering
Where does the sparsity in image signals come from? Local and nonlocal image models have supplied complementary views toward the regularity in natural images the former attempts t...
Weisheng Dong, Xin Li
NIPS
2001
15 years 1 months ago
Model Based Population Tracking and Automatic Detection of Distribution Changes
Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...
Igor V. Cadez, Paul S. Bradley
94
Voted
ICCV
2007
IEEE
16 years 1 months ago
A Robust Algorithm for Fiber-Bundle Atlas Construction
In this paper, we demonstrate an integrated registration and clustering algorithm to compute an atlas of fiberbundles from a set of multi-subject diffusion weighted MR images. We ...
Ulas Ziyan, Mert R. Sabuncu, W. Eric L. Grimson, C...
AI
2005
Springer
14 years 11 months ago
Unifying tree decompositions for reasoning in graphical models
The paper provides a unifying perspective of tree-decomposition algorithms appearing in various automated reasoning areas such as join-tree clustering for constraint-satisfaction ...
Kalev Kask, Rina Dechter, Javier Larrosa, Avi Dech...
80
Voted
CVPR
2006
IEEE
16 years 1 months ago
Improving Recognition of Novel Input with Similarity
Many sources of information relevant to computer vision and machine learning tasks are often underused. One example is the similarity between the elements from a novel source, suc...
Jerod J. Weinman, Erik G. Learned-Miller