3051 search results - page 117 / 611 » Learning Internal Representations |
177
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CVPR
2012
IEEE
13 years 5 months ago
2012
IEEE
One challenge when tracking objects is to adapt the object representation depending on the scene context to account for changes in illumination, coloring, scaling, etc. Here, we p...
JETAI
2002
15 years 3 months ago
2002
We study decision-theoretic planning or reinforcement learning in the presence of traps such as steep slopes for outdoor robots or staircases for indoor robots. In this case, achi...
148
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COGSCI
2008
15 years 1 months ago
2008
This article demonstrates the potential of using hierarchical Bayesian methods to relate models and data in the cognitive sciences. This is done using a worked example that consid...
139
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CVPR
2008
IEEE
16 years 5 months ago
2008
IEEE
This paper proposes a new concept in hierarchical representations that exploits features of different granularity and specificity coming from all layers of the hierarchy. The conc...
110
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GECCO
2007
Springer
15 years 9 months ago
2007
Springer
Adaptive representations allow evolution to explore the space of phenotypes by choosing the most suitable set of genotypic parameters. Although such an approach is believed to be ...