1264 search results - page 197 / 253 » The framework approach for constraint satisfaction |
216
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JMLR
2012
13 years 8 months ago
2012
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
153
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CIKM
2009
Springer
16 years 27 days ago
2009
Springer
We introduce a new theoretical derivation, evaluation methods, and extensive empirical analysis for an automatic query expansion framework in which model estimation is cast as a r...
173
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DT
2006
15 years 6 months ago
2006
the abstraction level at which designers express systems, enabling new levels of design reuse, and providing for design chain integration ool flows and abstraction levels. The purp...
177
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CVPR
2006
IEEE
16 years 8 months ago
2006
IEEE
We develop theory and algorithms to incorporate image manifold constraints in a level set segmentation algorithm. This provides a framework to simultaneously segment every image o...
189
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ECCV
2006
Springer
16 years 8 months ago
2006
Springer
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...