5289 search results - page 260 / 1058 » Evolutionary Computation for Modeling and Optimization |
177
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SI3D
1999
ACM
15 years 10 months ago
1999
ACM
In this paper, we explore the problem of interactively manipulating plant models without sacrificing their botanical accuracy. The primary technical contribution of the paper is ...
167
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GECCO
2007
Springer
16 years 21 days ago
2007
Springer
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
168
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CVPR
2003
IEEE
16 years 8 months ago
2003
IEEE
We develop a multi-class object detection framework whose core component is a nearest neighbor search over object part classes. The performance of the overall system is critically...
187
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CVPR
2007
IEEE
16 years 8 months ago
2007
IEEE
Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...
186
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GECCO
2009
Springer
16 years 1 months ago
2009
Springer
Embodied cognition emphasizes that intelligent behavior results from the coupled dynamics between an agent’s body, brain and environment. In response to this, several projects h...