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» Efficient Learning to Label Images
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CVPR
2010
IEEE
15 years 6 months ago
Tiered Scene Labeling with Dynamic Programming
Dynamic programming (DP) has been a useful tool for a variety of computer vision problems. However its application is usually limited to problems with a one dimensional or low tre...
Pedro Felzenszwalb, Olga Veksler
ICCV
2009
IEEE
16 years 2 months ago
Label Set Perturbation for MRF based Neuroimaging Segmentation
Graph-cuts based algorithms are effective for a variety of segmentation tasks in computer vision. Ongoing research is focused toward making the algorithms even more general, as ...
Dylan Hower, Vikas Singh, Sterling C. Johnson
ICIP
2006
IEEE
15 years 11 months ago
CBIR in Distributed Databases using a Multi-Agent System
Information retrieval techniques have to face both the growing amount of data to be processed and the "natural" distribution of these data over the network. Hence, we in...
David Picard, Matthieu Cord, Arnaud Revel
ICCV
2007
IEEE
15 years 11 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
CVPR
2008
IEEE
15 years 12 months ago
(BP)2: Beyond pairwise Belief Propagation labeling by approximating Kikuchi free energies
Belief Propagation (BP) can be very useful and efficient for performing approximate inference on graphs. But when the graph is very highly connected with strong conflicting intera...
Ifeoma Nwogu, Jason J. Corso