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» Extremal Optimization: Methods derived from Co-Evolution
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AIPS
2009
13 years 9 months ago
Efficient Solutions to Factored MDPs with Imprecise Transition Probabilities
When modeling real-world decision-theoretic planning problems in the Markov decision process (MDP) framework, it is often impossible to obtain a completely accurate estimate of tr...
Karina Valdivia Delgado, Scott Sanner, Leliane Nun...
GECCO
2010
Springer
162views Optimization» more  GECCO 2010»
14 years 1 months ago
Heuristics for sampling repetitions in noisy landscapes with fitness caching
For many large-scale combinatorial search/optimization problems, meta-heuristic algorithms face noisy objective functions, coupled with computationally expensive evaluation times....
Forrest Stonedahl, Susa H. Stonedahl
ICCV
1999
IEEE
14 years 10 months ago
Segmentation using Eigenvectors: A Unifying View
Automatic grouping and segmentation of images remains a challenging problem in computer vision. Recently, a number of authors have demonstrated good performance on this task using...
Yair Weiss
CVPR
2008
IEEE
14 years 2 months ago
Recovering Shape Characteristics on Near-flat Specular Surfaces
We consider the problem of capturing shape characteristics on specular (refractive and reflective) surfaces that are nearly flat. These surfaces are difficult to model using tradit...
Yuanyuan Ding and Jingyi Yu
CORR
2006
Springer
99views Education» more  CORR 2006»
13 years 8 months ago
Statistical mechanics of neocortical interactions: Portfolio of Physiological Indicators
There are several kinds of non-invasive imaging methods that are used to collect data from the brain, e.g., EEG, MEG, PET, SPECT, fMRI, etc. It is difficult to get resolution of i...
Lester Ingber