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ICIAP
2005
ACM
15 years 9 months ago
Markovian Energy-Based Computer Vision Algorithms on Graphics Hardware
This paper shows how Markovian segmentation algorithms used to solve well known computer vision problems such as motion estimation, motion detection and stereovision can be signiï¬...
Pierre-Marc Jodoin, Max Mignotte, Jean-Franç...
EOR
2006
65views more  EOR 2006»
15 years 3 months ago
Dynamic programming and minimum risk paths
: This paper addresses the problem of computing minimum risk paths by taking as objective the expected accident cost. The computation is based on a dynamic programming formulation ...
Paolo Serafini
149
Voted
ICMLA
2010
15 years 1 months ago
Ensembles of Neural Networks for Robust Reinforcement Learning
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
Alexander Hans, Steffen Udluft
ICSEA
2007
IEEE
15 years 10 months ago
Test Data Generation from UML State Machine Diagrams using GAs
Automatic test data generation helps testers to validate software against user requirements more easily. Test data can be generated from many sources; for example, experience of t...
Chartchai Doungsa-ard, Keshav P. Dahal, M. Alamgir...
101
Voted
ICLP
1999
Springer
15 years 8 months ago
CLAIRE: Combining Sets, Search, and Rules to Better Express Algorithms
This paper presents a programming language that includes paradigms that are usually associated with declarative languages, such as sets, rules and search, into an imperative (funct...
Yves Caseau, François-Xavier Josset, Fran&c...