2295 search results - page 264 / 459 » Learning Overcomplete Representations |
134
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IJCAI
2007
15 years 8 months ago
2007
A key issue in artificial intelligence lies in finding the amount of input detail needed to do successful learning. Too much detail causes overhead and makes learning prone to ove...
188
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IJCAI
1989
15 years 7 months ago
1989
Cognitive architectures aspire for generality both in terms of problem solving and learning across a range of problems, yet to date few examples of domain independent learning has...
201
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NECO
2008
15 years 6 months ago
2008
The perceptron (also referred to as McCulloch-Pitts neuron, or linear threshold gate) is commonly used as a simplified model for the discrimination and learning capability of a bi...
196
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CVPR
2011
IEEE
15 years 2 months ago
2011
IEEE
Visual attributes expose human-defined semantics to object recognition models, but existing work largely restricts their influence to mid-level cues during classifier training....
217
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ECCV
2004
Springer
16 years 8 months ago
2004
Springer
This paper presents a Bayesian framework for multi-cue 3D object tracking of deformable objects. The proposed spatio-temporal object representation involves a set of distinct linea...