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GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
15 years 3 months ago
Factorial representations to generate arbitrary search distributions
A powerful approach to search is to try to learn a distribution of good solutions (in particular of the dependencies between their variables) and use this distribution as a basis ...
Marc Toussaint
110
Voted
ECAI
2004
Springer
15 years 3 months ago
Boosting Systematic Search by Weighting Constraints
In this paper, we present a dynamic and adaptive variable ordering heuristic which guides systematic search toward inconsistent or hard parts of a Constraint Satisfaction Problem (...
Frédéric Boussemart, Fred Hemery, Ch...
111
Voted
ICPR
2008
IEEE
15 years 11 months ago
Change detection based on adaptive Markov Random Fields
Usually changes in remote sensing images go along with the appearance or disappearance of some edges. In addition, pixels located along the edges are likely to weakly influenced b...
Chunlei Huo, Hanqing Lu, Jian Cheng, Keming Chen, ...
84
Voted
ICPR
2000
IEEE
15 years 10 months ago
Feature Relevance Learning with Query Shifting for Content-Based Image Retrieval
Probabilistic feature relevance learning (PFRL) is an effective technique for adaptively computing local feature relevance for content-based image retrieval. It however becomes le...
Douglas R. Heisterkamp, Jing Peng, H. K. Dai
HICSS
2003
IEEE
108views Biometrics» more  HICSS 2003»
15 years 3 months ago
Border Node Retransmission Based Probabilistic Broadcast Protocols in Ad-Hoc Networks
In this paper, we propose some improvements to the flooding protocols that aim to efficiently broadcast a given information through the whole ad-hoc network. These improvements ...
Julien Cartigny, David Simplot