207 search results - page 10 / 42 » Unsupervised Learning for Graph Matching |
96
Voted
ECCV
2010
Springer
15 years 5 months ago
2010
Springer
Abstract. This paper presents an approach to object discovery in a given unlabeled image set, based on mining repetitive spatial configurations of image contours. Contours that si...
137
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DAGSTUHL
2006
15 years 2 months ago
2006
One of the bottlenecks of current recognition (and graph matching) systems is their assumption of one-to-one feature (node) correspondence. This assumption breaks down in the gener...
110
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EMNLP
2008
15 years 2 months ago
2008
Machine learning approaches to coreference resolution are typically supervised, and require expensive labeled data. Some unsupervised approaches have been proposed (e.g., Haghighi...
125
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ICIP
2007
IEEE
16 years 2 months ago
2007
IEEE
A key goal of far-field activity analysis is to learn the usual pattern of activity in a scene and to detect statistically anomalous behavior. We propose a method for unsupervised...
381
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CVPR
2012
IEEE
13 years 3 months ago
2012
IEEE
A novel approach for event summarization and rare event detection is proposed. Unlike conventional methods that deal with event summarization and rare event detection independently...