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» The Sinkhorn-Knopp Algorithm: Convergence and Applications
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JOTA
2011
149views more  JOTA 2011»
13 years 1 months ago
Globally Convergent Cutting Plane Method for Nonconvex Nonsmooth Minimization
: Nowadays, solving nonsmooth (not necessarily differentiable) optimization problems plays a very important role in many areas of industrial applications. Most of the algorithms d...
Napsu Karmitsa, Mario Tanaka Filho, José He...
GECCO
2003
Springer
13 years 11 months ago
Coevolutionary Convergence to Global Optima
We discuss a theory for a realistic, applicable scaled genetic algorithm (GA) which converges asymptoticly to global optima in a coevolutionary setting involving two species. It is...
Lothar M. Schmitt
ICASSP
2011
IEEE
12 years 10 months ago
Promoting convergence in multi-channel blind signal separation using PNLMS
The proportionate normalized least-mean squares (PNLMS) adaptation algorithm exploits the sparse nature of acoustic impulse responses and assigns adaptation gain proportional to t...
Muhammad Z. Ikram
ICASSP
2008
IEEE
14 years 22 days ago
Distributed average consensus with increased convergence rate
The average consensus problem in the distributed signal processing context is addressed by linear iterative algorithms, with asymptotic convergence to the consensus. The convergen...
Boris N. Oreshkin, Tuncer C. Aysal, Mark Coates
ICASSP
2007
IEEE
14 years 18 days ago
A Self-Training Semi-Supervised Support Vector Machine Algorithm and its Applications in Brain Computer Interface
In this paper, we analyze the convergence of an iterative selftraining semi-supervised support vector machine (SVM) algorithm, which is designed for classi cation in small trainin...
Yuanqing Li, Huiqi Li, Cuntai Guan, Zhengyang Chin