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GECCO
2010
Springer
195views Optimization» more  GECCO 2010»
15 years 8 months ago
Improved step size adaptation for the MO-CMA-ES
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is an evolutionary algorithm for continuous vector-valued optimization. It combines indicator-based...
Thomas Voß, Nikolaus Hansen, Christian Igel
GECCO
2008
Springer
144views Optimization» more  GECCO 2008»
15 years 5 months ago
Maintaining diversity through adaptive selection, crossover and mutation
This paper presents an Adaptive Genetic Algorithm (AGA) where selection pressure, crossover and mutation probabilities are adapted according to population diversity statistics. Th...
Brian McGinley, Fearghal Morgan, Colm O'Riordan
CVPR
2012
IEEE
13 years 6 months ago
Robust visual domain adaptation with low-rank reconstruction
Visual domain adaptation addresses the problem of adapting the sample distribution of the source domain to the target domain, where the recognition task is intended but the data d...
I-Hong Jhuo, Dong Liu, D. T. Lee, Shih-Fu Chang
ICPR
2008
IEEE
16 years 5 months ago
An adaptive scene description for activity analysis in surveillance video
This paper presents an adaptive framework for live video analysis. The activities of surveillance subjects are described using a spatio-temporal vocabulary learned from recurrent ...
Brendan Morris, Mohan M. Trivedi
BERTINORO
2005
Springer
15 years 10 months ago
Making Self-Adaptation an Engineering Reality
In this paper, we envision a world where a software engineer could take an existing software system, specify, for a set of properties of interest, an objective, conditions for chan...
Shang-Wen Cheng, David Garlan, Bradley R. Schmerl