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» A self-describing data transfer model for ITS applications
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CVPR
2005
IEEE
16 years 8 months ago
Semi-Supervised Adapted HMMs for Unusual Event Detection
We address the problem of temporal unusual event detection. Unusual events are characterized by a number of features (rarity, unexpectedness, and relevance) that limit the applica...
Dong Zhang, Daniel Gatica-Perez, Samy Bengio, Iain...
ICML
2007
IEEE
16 years 7 months ago
Simple, robust, scalable semi-supervised learning via expectation regularization
Although semi-supervised learning has been an active area of research, its use in deployed applications is still relatively rare because the methods are often difficult to impleme...
Gideon S. Mann, Andrew McCallum
NECO
2006
157views more  NECO 2006»
15 years 6 months ago
Experiments with AdaBoost.RT, an Improved Boosting Scheme for Regression
The application of boosting technique to the regression problems has received relatively little attention in contrast to the research aimed at classification problems. This paper ...
Durga L. Shrestha, Dimitri P. Solomatine
ENTCS
2006
115views more  ENTCS 2006»
15 years 6 months ago
Distributed Reactive XML
XML-centric models of computation have been proposed as an answer to the demand for interoperability, heterogeneity and openness in coordination models. We present a prototype imp...
Thomas T. Hildebrandt, Henning Niss, Martin Olsen,...
WINET
2010
121views more  WINET 2010»
15 years 4 months ago
Transmission algorithm for video streaming over cellular networks
2.5G and 3G cellular networks are becoming more and more widespread. Therefore, the need for value added services is increasing rapidly. One of the key services that operators see...
Y. Falik, A. Averbuch, U. Yechiali