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» Exploiting Deep Structure
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140
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ICML
2006
IEEE
16 years 3 months ago
Learning the structure of Factored Markov Decision Processes in reinforcement learning problems
Recent decision-theoric planning algorithms are able to find optimal solutions in large problems, using Factored Markov Decision Processes (fmdps). However, these algorithms need ...
Thomas Degris, Olivier Sigaud, Pierre-Henri Wuille...
98
Voted
ICMCS
2007
IEEE
188views Multimedia» more  ICMCS 2007»
15 years 9 months ago
A Fast Approach for Natural Image Matting using Structure Information
Natural image matting plays an important role in image and video editing. It has been addressed hotly because it is inherently an under-constrained problem – we must estimate bo...
Qianhui Ning, Weiqiang Wang, Caifeng Zhu, Laiyun Q...
132
Voted
ISPA
2007
Springer
15 years 8 months ago
Grid and Distributed Public Computing Schemes for Structural Proteomics: A Short Overview
Grid and distributed public computing schemes has become an essential tool for many scientific fields including bioinformatics, computational biology and systems biology. The adopt...
Azhar Ali Shah, Daniel Barthel, Natalio Krasnogor
119
Voted
DOCENG
2006
ACM
15 years 8 months ago
Benefits of structured multimedia documents in IDTV: the end-user enrichment system
This paper presents a system that exploits the benefits of modelling multimedia presentations as structured documents within the context of interactive digital television systems....
Pablo César, Dick C. A. Bulterman, A. J. Ja...
135
Voted
ECML
2006
Springer
15 years 6 months ago
Margin-Based Active Learning for Structured Output Spaces
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
Dan Roth, Kevin Small