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AAMAS
2005
Springer
14 years 11 months ago
Cooperative Multi-Agent Learning: The State of the Art
Cooperative multi-agent systems are ones in which several agents attempt, through their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among t...
Liviu Panait, Sean Luke
CVPR
2006
IEEE
16 years 1 months ago
Hierarchical Statistical Learning of Generic Parts of Object Structure
With the growing interest in object categorization various methods have emerged that perform well in this challenging task, yet are inherently limited to only a moderate number of...
Sanja Fidler, Gregor Berginc, Ales Leonardis
IJRR
2011
126views more  IJRR 2011»
14 years 6 months ago
Optimization and learning for rough terrain legged locomotion
We present a novel approach to legged locomotion over rough terrain that is thoroughly rooted in optimization. This approach relies on a hierarchy of fast, anytime algorithms to p...
Matthew Zucker, Nathan D. Ratliff, Martin Stolle, ...
MVA
2000
172views Computer Vision» more  MVA 2000»
15 years 16 days ago
Partial Face Extraction and Recognition Using Radial Basis Function Networks
work, applies a nonlinear transformation from the input space to the hidden space. The output layer Partial face images, e.g.1 eyes, nose, and ear supplies the response of the netw...
Nan He, Kiminori Sato, Yukitoshi Takahashi
ICML
1991
IEEE
15 years 2 months ago
Simulating Stages of Human Cognitive Development With Connectionist Models
The psychological literature on stages of cognitive development was reviewed and found to contain support for the idea that stages represent ordinal, qualitative changes in organi...
Thomas R. Shultz