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» Comparative Evaluation of Approaches to Propositionalization
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ISPDC
2005
IEEE
14 years 1 months ago
Collaborative Data Distribution with BitTorrent for Computational Desktop Grids
— Data-centric applications are still a challenging issue for Large Scale Distributed Computing Systems. The emergence of new protocols and softwares for collaborative content di...
Baohua Wei, Gilles Fedak, Franck Cappello
EDBT
2006
ACM
121views Database» more  EDBT 2006»
14 years 8 months ago
A Decomposition-Based Probabilistic Framework for Estimating the Selectivity of XML Twig Queries
In this paper we present a novel approach for estimating the selectivity of XML twig queries. Such a technique is useful for approximate query answering as well as for determining...
Chao Wang, Srinivasan Parthasarathy, Ruoming Jin
ICMCS
2006
IEEE
167views Multimedia» more  ICMCS 2006»
14 years 2 months ago
Efficient Object Tracking using Control-Based Observer Design
Kernel-based tracking approaches have proven to be more efficient in computation compared to other tracking approaches such as particle filtering. However, existing kernel-based...
Wei Qu, Dan Schonfeld
DAGM
2009
Springer
13 years 6 months ago
Combined GKLT Feature Tracking and Reconstruction for Next Best View Planning
Abstract. Guided Kanade-Lucas-Tomasi (GKLT) tracking is a suitable way to incorporate knowledge about camera parameters into the standard KLT tracking approach for feature tracking...
Michael Trummer, Christoph Munkelt, Joachim Denzle...
ICASSP
2008
IEEE
14 years 2 months ago
Using corpus and knowledge-based similarity measure in Maximum Marginal Relevance for meeting summarization
MMR (Maximum Marginal Relevance) is widely used in summarization for its simplicity and efficacy, and has been demonstrated to achieve comparable performance to other approaches ...
Shasha Xie, Yang Liu