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IEEEMM
2002
291views more  IEEEMM 2002»
13 years 7 months ago
Semantic Annotation of Sports Videos
ion when we annotate content. This therefore requires us to investigate and model video semantics. Because of the type and volume of data, general-purpose approaches are likely to ...
Jürgen Assfalg, Marco Bertini, Carlo Colombo,...
JSCIC
2008
71views more  JSCIC 2008»
13 years 7 months ago
Numerical and Statistical Methods for the Coarse-Graining of Many-Particle Stochastic Systems
In this article we discuss recent work on coarse-graining methods for microscopic stochastic lattice systems. We emphasize the numerical analysis of the schemes, focusing on error ...
Markos A. Katsoulakis, Petr Plechác, Luc Re...
SOSP
2005
ACM
14 years 4 months ago
Capturing, indexing, clustering, and retrieving system history
We present a method for automatically extracting from a running system an indexable signature that distills the essential characteristic from a system state and that can be subjec...
Ira Cohen, Steve Zhang, Moisés Goldszmidt, ...
SIGMOD
2007
ACM
159views Database» more  SIGMOD 2007»
14 years 7 months ago
Boosting topic-based publish-subscribe systems with dynamic clustering
We consider in this paper a class of Publish-Subscribe (pub-sub) systems called topic-based systems, where users subscribe to topics and are notified on events that belong to thos...
Tova Milo, Tal Zur, Elad Verbin
ICASSP
2008
IEEE
14 years 2 months ago
An unsupervised web-based topic language model adaptation method
This paper focuses on a solution to better adapt ASR systems, whose language models (LM) are usually trained on topic-independent corpora, to new topics, in particular in the case...
Gwénolé Lecorvé, Guillaume Gr...