207 search results - page 10 / 42 » Unsupervised Learning for Graph Matching |
73
Voted
ECCV
2010
Springer
15 years 2 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...
106
Voted
DAGSTUHL
2006
14 years 11 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...
83
Voted
EMNLP
2008
14 years 11 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...
ICIP
2007
IEEE
15 years 11 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...
316
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CVPR
2012
IEEE
12 years 11 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...