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» Compositional Models for Reinforcement Learning
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IUI
2006
ACM
14 years 1 months ago
Who's asking for help?: a Bayesian approach to intelligent assistance
Automated software customization is drawing increasing attention as a means to help users deal with the scope, complexity, potential intrusiveness, and ever-changing nature of mod...
Bowen Hui, Craig Boutilier
MIR
2006
ACM
267views Multimedia» more  MIR 2006»
14 years 1 months ago
Matching slides to presentation videos using SIFT and scene background matching
We present a general approach for automatically matching electronic slides to videos of corresponding presentations for use in distance learning and video proceedings of conferenc...
Quanfu Fan, Kobus Barnard, Arnon Amir, Alon Efrat,...
BMCBI
2010
127views more  BMCBI 2010»
13 years 7 months ago
Computational prediction of type III secreted proteins from gram-negative bacteria
Background: Type III secretion system (T3SS) is a specialized protein delivery system in gramnegative bacteria that injects proteins (called effectors) directly into the eukaryoti...
Yang Yang, Jiayuan Zhao, Robyn L. Morgan, Wenbo Ma...
CVPR
2005
IEEE
14 years 9 months ago
Bi-Layer Segmentation of Binocular Stereo Video
This paper describes two algorithms capable of real-time segmentation of foreground from background layers in stereo video sequences. Automatic separation of layers from colour/co...
Vladimir Kolmogorov, Antonio Criminisi, Andrew Bla...
ICLP
1999
Springer
13 years 12 months ago
Logic Programming in Oz with Mozart
Oz is a multiparadigm language that supports logic programming as one of its major paradigms. A multiparadigm language is designed to support different programming paradigms (log...
Peter Van Roy