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» Solving Demodulation as an Optimization Problem
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105
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TASLP
2002
109views more  TASLP 2002»
15 years 4 days ago
Particle methods for Bayesian modeling and enhancement of speech signals
This paper applies time-varying autoregressive (TVAR) models with stochastically evolving parameters to the problem of speech modeling and enhancement. The stochastic evolution mod...
Jaco Vermaak, Christophe Andrieu, Arnaud Doucet, S...
TEC
2002
119views more  TEC 2002»
15 years 3 days ago
Graph-based evolutionary design of arithmetic circuits
Abstract--In this paper, we present an efficient graph-based evolutionary optimization technique called evolutionary graph generation (EGG) and the proposed approach is applied to ...
Dingjun Chen, Takafumi Aoki, Naofumi Homma, Toshik...
88
Voted
MP
2007
102views more  MP 2007»
14 years 12 months ago
Elastic-mode algorithms for mathematical programs with equilibrium constraints: global convergence and stationarity properties
The elastic-mode formulation of the problem of minimizing a nonlinear function subject to equilibrium constraints has appealing local properties in that, for a finite value of the...
Mihai Anitescu, Paul Tseng, Stephen J. Wright
101
Voted
NN
2007
Springer
106views Neural Networks» more  NN 2007»
14 years 12 months ago
Machine learning approach to color constancy
A number of machine learning (ML) techniques have recently been proposed to solve color constancy problem in computer vision. Neural networks (NNs) and support vector regression (...
Vivek Agarwal, Andrei V. Gribok, Mongi A. Abidi
CORR
2010
Springer
123views Education» more  CORR 2010»
14 years 11 months ago
Feature Construction for Relational Sequence Learning
Abstract. We tackle the problem of multi-class relational sequence learning using relevant patterns discovered from a set of labelled sequences. To deal with this problem, firstly...
Nicola Di Mauro, Teresa Maria Altomare Basile, Ste...