2455 search results - page 273 / 491 » Learning Composite Concepts |
176
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CVPR
2001
IEEE
16 years 8 months ago
2001
IEEE
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
179
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ECCV
2004
Springer
16 years 8 months ago
2004
Springer
Data association (obtaining correspondences) is a ubiquitous problem in computer vision. It appears when matching image features across multiple images, matching image features to ...
184
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ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
This paper investigates a new learning formulation called structured sparsity, which is a naturalextensionofthestandardsparsityconceptinstatisticallearningandcompressivesensing. B...
171
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ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. Learning ML...
163
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KDD
2005
ACM
16 years 7 months ago
2005
ACM
Many classification tasks, such as spam filtering, intrusion detection, and terrorism detection, are complicated by an adversary who wishes to avoid detection. Previous work on ad...