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» Using Prior Knowledge: Problems and Solutions
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CVIU
2008
109views more  CVIU 2008»
15 years 3 months ago
Performance vs computational efficiency for optimizing single and dynamic MRFs: Setting the state of the art with primal-dual st
In this paper we introduce a novel method to address minimization of static and dynamic MRFs. Our approach is based on principles from linear programming and, in particular, on pr...
Nikos Komodakis, Georgios Tziritas, Nikos Paragios
182
Voted
CAIP
2007
Springer
176views Image Analysis» more  CAIP 2007»
15 years 9 months ago
A Modular Approach for Automating Video Analysis
Automating the steps involved in video processing has yet to be tackled with much success by vision developers and knowledge engineers. This is due to the difficulty in formulating...
Gayathri Nadarajan, Arnaud Renouf
HICSS
2003
IEEE
123views Biometrics» more  HICSS 2003»
15 years 8 months ago
Issues in Rational Planning in Multi-Agent Settings
We adopt the decision-theoretic principle of expected utility maximization as a paradigm for designing autonomous rational agents operating in multi-agent environments. We use the...
Piotr J. Gmytrasiewicz
105
Voted
INFORMS
2007
123views more  INFORMS 2007»
15 years 3 months ago
Constructing Ensembles from Data Envelopment Analysis
It has been shown in prior work in management science, statistics and machine learning that using an ensemble of models often results in better performance than using a single ‘...
Zhiqiang Zheng, Balaji Padmanabhan
144
Voted
CP
2003
Springer
15 years 8 months ago
Semi-automatic Modeling by Constraint Acquisition
Constraint programming is a technology which is now widely used to solve combinatorial problems in industrial applications. However, using it requires considerable knowledge and e...
Remi Coletta, Christian Bessière, Barry O'S...