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213
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CVPR
2009
IEEE
2009
IEEE
Layered Graph Matching by Composite Cluster Sampling with Collaborative and Competitive Interactions
17 years 1 months ago
This paper studies a framework for matching an unknown
number of corresponding structures in two images
(shapes), motivated by detecting objects in cluttered background
and lear...
159
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CVPR
2009
IEEE
17 years 1 months ago
2009
IEEE
We propose to shift the goal of recognition from naming
to describing. Doing so allows us not only to name familiar
objects, but also: to report unusual aspects of a familiar
ob...
159
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ICCV
2009
IEEE
16 years 11 months ago
2009
IEEE
Similarity metrics that are learned from labeled training
data can be advantageous in terms of performance
and/or efficiency. These learned metrics can then be used
in conjuncti...
181
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ICCV
2009
IEEE
16 years 10 months ago
2009
IEEE
Graph-based semi-supervised learning has gained considerable
interests in the past several years thanks to its effectiveness
in combining labeled and unlabeled data through
labe...
162
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CVPR
1998
IEEE
16 years 8 months ago
1998
IEEE
This paper describes the derivation of probability of correctness from scores assigned by most recognizers. Motivation for this research is three-fold: i probability values can be...