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PR
2010
184views more  PR 2010»
15 years 4 months ago
Total variation, adaptive total variation and nonconvex smoothly clipped absolute deviation penalty for denoising blocky images
The total variation-based image denoising model has been generalized and extended in numerous ways, improving its performance in different contexts. We propose a new penalty func...
Aditya Chopra, Heng Lian
IWANN
2009
Springer
16 years 29 days ago
RCGA-S/RCGA-SP Methods to Minimize the Delta Test for Regression Tasks
Frequently, the number of input variables (features) involved in a problem becomes too large to be easily handled by conventional machine-learning models. This paper introduces a c...
Fernando Mateo, Dusan Sovilj, Rafael Gadea Giron&e...
AAMAS
2005
Springer
15 years 6 months ago
Learning and Exploiting Relative Weaknesses of Opponent Agents
Agents in a competitive interaction can greatly benefit from adapting to a particular adversary, rather than using the same general strategy against all opponents. One method of s...
Shaul Markovitch, Ronit Reger
BMCBI
2008
218views more  BMCBI 2008»
15 years 6 months ago
LOSITAN: A workbench to detect molecular adaptation based on a Fst-outlier method
Background: Testing for selection is becoming one of the most important steps in the analysis of multilocus population genetics data sets. Existing applications are difficult to u...
Tiago Antao, Ana Lopes, Ricardo J. Lopes, Albano B...
GRID
2006
Springer
15 years 6 months ago
Fault-aware scheduling for Bag-of-Tasks applications on Desktop Grids
Desktop Grids have proved to be a suitable platform for the execution of Bag-of-Tasks applications but, being characterized by a high resource volatility, require the availability ...
Cosimo Anglano, John Brevik, Massimo Canonico, Dan...