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» Learning and Generalization with the Information Bottleneck
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CIVR
2007
Springer
231views Image Analysis» more  CIVR 2007»
15 years 4 months ago
Classification of video events using 4-dimensional time-compressed motion features
Among the various types of semantic concepts modeled, events pose the greatest challenge in terms of computational power needed to represent the event and accuracy that can be ach...
Alexander Haubold, Milind R. Naphade
SIGECOM
2006
ACM
139views ECommerce» more  SIGECOM 2006»
15 years 4 months ago
Playing games in many possible worlds
In traditional game theory, players are typically endowed with exogenously given knowledge of the structure of the game—either full omniscient knowledge or partial but fixed in...
Matt Lepinski, David Liben-Nowell, Seth Gilbert, A...
SIGIR
2006
ACM
15 years 4 months ago
Large scale semi-supervised linear SVMs
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
Vikas Sindhwani, S. Sathiya Keerthi
SIGUCCS
2006
ACM
15 years 4 months ago
Automated podcasting solution expands the boundaries of the classroom
A scalable podcast solution developed at the University of Washington makes the podcasting of class lectures easy for faculty by automating the capture, uploading, and delivery of...
David Aldrich, Bradley Bell, Tim Batzel
MM
2004
ACM
152views Multimedia» more  MM 2004»
15 years 3 months ago
Manifold-ranking based image retrieval
In this paper, we propose a novel transductive learning framework named manifold-ranking based image retrieval (MRBIR). Given a query image, MRBIR first makes use of a manifold ra...
Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang...