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» Minimization of an M-convex Function
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AUSAI
2007
Springer
14 years 3 months ago
The Detrimentality of Crossover
The traditional concept of a genetic algorithm (GA) is that of selection, crossover and mutation. However, a limited amount of data from the literature has suggested that the nich...
Andrew Czarn, Cara MacNish, Kaipillil Vijayan, Ber...
ISCAS
2005
IEEE
214views Hardware» more  ISCAS 2005»
14 years 3 months ago
Blind separation of statistically independent signals with mixed sub-Gaussian and super-Gaussian probability distributions
— In the context of Independent Component Analysis (ICA), we propose a simple method for online estimation of activation functions in order to blindly separate instantaneous mixt...
Muhammad Tufail, Masahide Abe, Masayuki Kawamata
ML
2007
ACM
106views Machine Learning» more  ML 2007»
13 years 9 months ago
Surrogate maximization/minimization algorithms and extensions
Abstract Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. A...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
SIAMNUM
2010
131views more  SIAMNUM 2010»
13 years 4 months ago
A Rational Interpolation Scheme with Superpolynomial Rate of Convergence
The purpose of this study is to construct a high-order interpolation scheme for arbitrary scattered datasets. The resulting function approximation is an interpolation function when...
Qiqi Wang, Parviz Moin, Gianluca Iaccarino
ICCV
2011
IEEE
12 years 9 months ago
Generalized Roof Duality for Pseudo-Boolean Optimization
The number of applications in computer vision that model higher-order interactions has exploded over the last few years. The standard technique for solving such problems is to red...
Fredrik Kahl, Petter Strandmark