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» Evaluating algorithms that learn from data streams
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MM
2010
ACM
252views Multimedia» more  MM 2010»
15 years 4 months ago
Real-time detection of unusual regions in image streams
Automatic and real-time identification of unusual incidents is important for event detection and alarm systems. In today's camera surveillance solutions video streams are dis...
Rene Schuster, Roland Mörzinger, Werner Haas,...
EP
1998
Springer
15 years 8 months ago
Generating, Visualizing, and Evaluating High-Quality Clusters for Information Organization
We present and analyze the star clustering algorithm. We discuss an implementation of this algorithm that supports browsing and document retrieval through information organization...
Javed A. Aslam, Katya Pelekhov, Daniela Rus
LREC
2010
157views Education» more  LREC 2010»
15 years 5 months ago
Is Sentiment a Property of Synsets? Evaluating Resources for Sentiment Classification using Machine Learning
Existing approaches to classifying documents by sentiment include machine learning with features created from n-grams and part of speech. This paper explores a different approach ...
Aleksander Wawer
CVPR
2010
IEEE
15 years 10 months ago
Learning 3D Action Models from a few 2D videos for View Invariant Action Recognition
Most existing approaches for learning action models work by extracting suitable low-level features and then training appropriate classifiers. Such approaches require large amount...
Pradeep Natarajan, Vivek Singh, Ram Nevatia
SEKE
2007
Springer
15 years 10 months ago
Adjudicator: A Statistical Approach for Learning Ontology Concepts from Peer Agents
— We present a statistical approach for software agents to learn ontology concepts from peer agents by asking them whether they can reach consensus on significant differences bet...
Behrouz Homayoun Far, Abdel Halim Elamy, Nora Houa...