2899 search results - page 254 / 580 » On the Complexity of Exclusion Algorithms for Optimization |
192
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BMCBI
2006
15 years 6 months ago
2006
Background: In discriminant analysis of microarray data, usually a small number of samples are expressed by a large number of genes. It is not only difficult but also unnecessary ...
319
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CVPR
2012
IEEE
13 years 9 months ago
2012
IEEE
A large number of problems in computer vision can be modeled as energy minimization problems in a markov random field (MRF) framework. Many methods have been developed over the y...
190
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CISS
2008
IEEE
16 years 1 months ago
2008
IEEE
— In this paper, we present a distributed algorithm for detecting redundancies in a sensor network with no location information. We demonstrate how, in the absence of localizatio...
150
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DAC
2009
ACM
16 years 7 months ago
2009
ACM
Computational complexity has been the primary challenge of many VLSI CAD applications. The emerging multicore and manycore microprocessors have the potential to offer scalable perf...
180
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GECCO
2010
Springer
15 years 11 months ago
2010
Springer
Negative selection algorithms are immune-inspired classifiers that are trained on negative examples only. Classification is performed by generating detectors that match none of ...