4255 search results - page 406 / 851 » On Learning Boolean Functions |
211
Voted
EC
2010
15 years 4 months ago
2010
Estimation of distribution algorithms (EDAs) that use marginal product model factorizations have been widely applied to a broad range of, mainly binary, optimization problems. In ...
222
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ICCV
2011
IEEE
14 years 6 months ago
2011
IEEE
This paper proposes a very general max-margin learning framework for distance-based clustering. To this end, it formulates clustering as a high order energy minimization problem w...
201
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ICCV
2009
IEEE
15 years 4 months ago
2009
IEEE
Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is a linear function of the input vector. In this wo...
156
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ICIP
2005
IEEE
16 years 8 months ago
2005
IEEE
We present a novel and intuitive framework for building modular vision systems for complex tasks such as surveillance applications. Inspired by graphical models, especially factor...
142
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ICPR
2008
IEEE
16 years 8 months ago
2008
IEEE
Application-specific dissimilarity functions can be used for learning from a set of objects represented by pairwise dissimilarity matrices in this context. These dissimilarities m...