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» Image classification using multimedia knowledge networks
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CIKM
2008
Springer
13 years 10 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan
DSRT
2003
IEEE
14 years 2 months ago
Peer-to-Peer Suitability for Collaborative Multiplayer Games
Peer-to-peer communication is emerging as one of the most potentially disruptive technologies in the networking sector. If the interest in such technologies as Napster, Morpheus a...
Abdulmotaleb El-Saddik, Andre Dufour
CIVR
2010
Springer
246views Image Analysis» more  CIVR 2010»
13 years 6 months ago
Genre-specific semantic video indexing
In many applications, we find large video collections from different genres where the user is often only interested in one or two specific video genres. So, when users are queryin...
Jun Wu, Marcel Worring
ICMLA
2008
13 years 10 months ago
Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques
Accurate lung tumor targeting in real time plays a fundamental role in image-guide radiotherapy of lung cancers. Precise tumor targeting is required for both respiratory gating an...
Tong Lin, Laura Cervino, Xiaoli Tang, Nuno Vasconc...
MVA
2006
205views Computer Vision» more  MVA 2006»
13 years 8 months ago
Ontological inference for image and video analysis
Abstract This paper presents an approach to designing and implementing extensible computational models for perceiving systems based on a knowledge-driven joint inference approach. ...
Christopher Town