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» Learning and prediction of slip from visual information
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ACL
2009
13 years 3 months ago
Learning with Annotation Noise
It is usually assumed that the kind of noise existing in annotated data is random classification noise. Yet there is evidence that differences between annotators are not always ra...
Eyal Beigman, Beata Beigman Klebanov
AAAI
1994
13 years 6 months ago
Visual Semantics: Extracting Visual information from Text Accompanying Pictures
This research explores the interaction of textual and photographic information in document understanding. The problem of performing generalpurpose vision without apriori knowledge...
Rohini K. Srihari, Debra T. Burhans
TITS
2008
250views more  TITS 2008»
13 years 5 months ago
Learning, Modeling, and Classification of Vehicle Track Patterns from Live Video
This paper presents two different types of visual activity analysis modules based on vehicle tracking. The highway monitoring module accurately classifies vehicles into eight diffe...
Brendan Tran Morris, Mohan M. Trivedi
MM
2010
ACM
198views Multimedia» more  MM 2010»
13 years 5 months ago
Analyzing and predicting sentiment of images on the social web
In this paper we study the connection between sentiment of images expressed in metadata and their visual content in the social photo sharing environment Flickr. To this end, we co...
Stefan Siersdorfer, Enrico Minack, Fan Deng, Jonat...