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» Detection Of Forgery In Paintings Using Supervised Learning
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CVPR
2005
IEEE
14 years 8 months ago
Semi-Supervised Cross Feature Learning for Semantic Concept Detection in Videos
For large scale automatic semantic video characterization, it is necessary to learn and model a large number of semantic concepts. But a major obstacle to this is the insufficienc...
Rong Yan, Milind R. Naphade
ICMLA
2010
13 years 4 months ago
Semi-Supervised Anomaly Detection for EEG Waveforms Using Deep Belief Nets
Abstract--Clinical electroencephalography (EEG) is routinely used to monitor brain function in critically ill patients, and specific EEG waveforms are recognized by clinicians as s...
Drausin Wulsin, Justin Blanco, Ram Mani, Brian Lit...
EDUTAINMENT
2006
Springer
13 years 10 months ago
Style Conversion of Cartoon Animation
This paper describes a computational approach to style conversion of cartoon animation. Our system works in two stages: the internal color shading phase, in which characters paint...
Tianzhou Chen, Jinhui Yu, Qunsheng Peng
CVPR
2006
IEEE
14 years 8 months ago
Supervised Learning of Edges and Object Boundaries
Edge detection is one of the most studied problems in computer vision, yet it remains a very challenging task. It is difficult since often the decision for an edge cannot be made ...
Piotr Dollár, Zhuowen Tu, Serge Belongie
ACL
2006
13 years 7 months ago
Semi-Supervised Learning of Partial Cognates Using Bilingual Bootstrapping
Partial cognates are pairs of words in two languages that have the same meaning in some, but not all contexts. Detecting the actual meaning of a partial cognate in context can be ...
Oana Frunza, Diana Zaiu Inkpen