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» Solving Hierarchical Optimization Problems Using MOEAs
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PAMI
2012
13 years 3 months ago
Detachable Object Detection: Segmentation and Depth Ordering from Short-Baseline Video
—We describe an approach for segmenting a moving image into regions that correspond to surfaces in the scene that are partially surrounded by the medium. It integrates both appea...
Alper Ayvaci, Stefano Soatto
99
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GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
15 years 4 months ago
Multi-step environment learning classifier systems applied to hyper-heuristics
Heuristic Algorithms (HA) are very widely used to tackle practical problems in operations research. They are simple, easy to understand and inspire confidence. Many of these HAs a...
Javier G. Marín-Blázquez, Sonia Schu...
117
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ECCV
2010
Springer
15 years 6 months ago
2D Action Recognition Serves 3D Human Pose Estimation
3D human pose estimation in multi-view settings benefits from embeddings of human actions in low-dimensional manifolds, but the complexity of the embeddings increases with the num...
AAAI
2006
15 years 2 months ago
Learning Basis Functions in Hybrid Domains
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
Branislav Kveton, Milos Hauskrecht
109
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GECCO
2010
Springer
249views Optimization» more  GECCO 2010»
15 years 2 months ago
Towards improved dispatching rules for complex shop floor scenarios: a genetic programming approach
Developing dispatching rules for manufacturing systems is a tedious process, which is time- and cost-consuming. Since there is no good general rule for different scenarios and ob...
Torsten Hildebrandt, Jens Heger, Bernd Scholz-Reit...