3250 search results - page 205 / 650 » Parameterized Learning Complexity |
191
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ICCV
2001
IEEE
16 years 8 months ago
2001
IEEE
This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...
198
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ICPR
2002
IEEE
16 years 7 months ago
2002
IEEE
Bayesian networks are an attractive modeling tool for human sensing, as they combine an intuitive graphical representation with ef?cient algorithms for inference and learning. Ear...
166
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IJCNN
2006
IEEE
16 years 17 days ago
2006
IEEE
— This paper shows the advantage of using neural network modularity over conventional learning schemes to approximate complex functions. Indeed, it is difficult for artificial ...
180
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COLT
2001
Springer
15 years 11 months ago
2001
Springer
We describe a new boosting algorithm which generates only smooth distributions which do not assign too much weight to any single example. We show that this new boosting algorithm ...
145
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CE
2006
15 years 6 months ago
2006
This paper describes a dynamic computer-based business learning environment and the results from applying it in a real-world business organization. We argue for using learning too...