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TASLP
2002
109views more  TASLP 2002»
13 years 7 months 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...
CEC
2007
IEEE
13 years 11 months ago
Gene selection in cancer classification using PSO/SVM and GA/SVM hybrid algorithms
In this work we compare the use of a Particle Swarm Optimization (PSO) and a Genetic Algorithm (GA) (both augmented with Support Vector Machines SVM) for the classification of high...
Enrique Alba, José García-Nieto, Lae...
DFT
2009
IEEE
210views VLSI» more  DFT 2009»
13 years 11 months ago
Optimizing Parametric BIST Using Bio-inspired Computing Algorithms
Optimizing the BIST configuration based on the characteristics of the design under test is a complicated and challenging work for test engineers. Since this problem has multiple o...
Nastaran Nemati, Amirhossein Simjour, Amirali Ghof...
IPPS
2008
IEEE
14 years 2 months ago
Towards a decentralized architecture for optimization
We introduce a generic framework for the distributed execution of combinatorial optimization tasks. Instead of relying on custom hardware (like dedicated parallel machines or clus...
Marco Biazzini, Mauro Brunato, Alberto Montresor
FGR
2004
IEEE
141views Biometrics» more  FGR 2004»
13 years 11 months ago
Smart Particle Filtering for 3D Hand Tracking
Solving the tracking of an articulated structure in a reasonable time is a complex task mainly due to the high dimensionality of the problem. A new optimization method, called Sto...
Matthieu Bray, Esther Koller-Meier, Luc J. Van Goo...