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ECCV
2004
Springer
16 years 10 days ago
Robust Fitting by Adaptive-Scale Residual Consensus
Computer vision tasks often require the robust fit of a model to some data. In a robust fit, two major steps should be taken: i) robustly estimate the parameters of a model, and ii...
Hanzi Wang, David Suter
IPPS
1999
IEEE
15 years 11 months ago
An Adaptive, Fault-Tolerant Implementation of BSP for JAVA-Based Volunteer Computing Systems
Abstract. In recent years, there has been a surge of interest in Javabased volunteer computing systems, which aim to make it possible to build very large parallel computing network...
Luis F. G. Sarmenta
ACMACE
2007
ACM
15 years 11 months ago
Motivated reinforcement learning for adaptive characters in open-ended simulation games
Recently a new generation of virtual worlds has emerged in which users are provided with open-ended modelling tools with which they can create and modify world content. The result...
Kathryn Elizabeth Merrick, Mary Lou Maher
ICWS
2007
IEEE
15 years 8 months ago
A Semantic Web Services-based Infrastructure for Context-Adaptive Process Support
Current technologies aimed at supporting processes – whether it is a business or learning process – primarily follow a metadata- and data-centric paradigm. Whereas process met...
Stefan Dietze, Alessio Gugliotta, John Domingue
SODA
2008
ACM
101views Algorithms» more  SODA 2008»
15 years 8 months ago
Adaptive local ratio
Local ratio is a well-known paradigm for designing approximation algorithms for combinatorial optimization problems. At a very high level, a local-ratio algorithm first decomposes ...
Julián Mestre