1859 search results - page 165 / 372 » Using Problems to Learn Service-Oriented Computing |
153
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WWW
2004
ACM
16 years 7 months ago
2004
ACM
This paper describes one solution to the problem of how to select sequence, and link Web resources into a coherent, focused organization for instruction that addresses a user'...
180
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CVPR
2007
IEEE
16 years 8 months ago
2007
IEEE
Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...
162
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EUROCOLT
1995
Springer
15 years 10 months ago
1995
Springer
Limiting identification of r.e. indexes for r.e. languages (from a presentation of elements of the language) and limiting identification of programs for computable functions (fr...
211
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ICCV
2009
IEEE
15 years 4 months ago
2009
IEEE
Multi-label learning is useful in visual object recognition when several objects are present in an image. Conventional approaches implement multi-label learning as a set of binary...
227
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CVPR
2009
IEEE
17 years 1 months ago
2009
IEEE
We study the problem of object classification when training
and test classes are disjoint, i.e. no training examples of
the target classes are available. This setup has hardly be...