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ECCV
2010
Springer
14 years 11 months ago
2010
Springer
Abstract. We study the problem of multimodal dimensionality reduction assuming that data samples can be missing at training time, and not all data modalities may be present at appl...
CORR
2010
Springer
14 years 10 months ago
2010
Springer
Sparse methods for supervised learning aim at finding good linear predictors from as few variables as possible, i.e., with small cardinality of their supports. This combinatorial ...
ALIFE
2006
14 years 10 months ago
2006
An evolutionary system that supports the interaction of neutral and adaptive mutations is investigated. Experimental results on a Boolean function and needle-in-haystack problems s...
JCSS
1998
14 years 9 months ago
1998
d Abstract) LYDIA E. KAVRAKI JEAN-CLAUDE LATOMBE RAJEEV MOTWANI ¡ PRABHAKAR RAGHAVAN ¢ The subject of this paper is the analysis of a randomized preprocessing scheme that ...
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TMC
2012
13 years 9 days ago
2012
—Characterizing the performance of ad hoc networks is one of the most intricate open challenges; conventional ideas based on information-theoretic techniques and inequalities hav...