3051 search results - page 53 / 611 » Learning Internal Representations |
ICRA
2006
IEEE
15 years 5 months ago
2006
IEEE
This paper presents an architecture for solving generically the problem of extracting the constraints of a given task in a programming by demonstration framework and the problem...
103
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WAPCV
2004
Springer
15 years 5 months ago
2004
Springer
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
ICANN
2003
Springer
15 years 5 months ago
2003
Springer
We discuss a Probably Approximate Correct (PAC) learning paradigm for Boolean formulas, which we call PAC meditation, where the class of formulas to be learnt is not known in advan...
101
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CVPR
2010
IEEE
15 years 8 months ago
2010
IEEE
A central problem in the analysis of motion capture (Mo-
Cap) data is how to decompose motion sequences into primitives.
Ideally, a description in terms of primitives should
fac...
ICPR
2000
IEEE
16 years 28 days ago
2000
IEEE