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ICPR
2008
IEEE
15 years 10 months ago
Comparison of Particle Swarm Optimization and Genetic Algorithm for HMM training
Hidden Markov Model (HMM) is the dominant technology in speech recognition. The problem of optimizing model parameters is of great interest to the researchers in this area. The Ba...
Fengqin Yang, Changhai Zhang, Tieli Sun
106
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DAGM
2003
Springer
15 years 8 months ago
Locally Optimized RANSAC
A new enhancement of RANSAC, the locally optimized RANSAC (LO-RANSAC), is introduced. It has been observed that, to find an optimal solution (with a given probability), the numbe...
Ondrej Chum, Jiri Matas, Josef Kittler
124
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AMC
2007
111views more  AMC 2007»
15 years 3 months ago
Locating multiple optima using particle swarm optimization
Many scientific and engineering applications require optimization methods to find more than one solution to multimodal optimization problems. This paper presents a new particle ...
R. Brits, Andries Petrus Engelbrecht, F. Van den B...
111
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CORR
2007
Springer
109views Education» more  CORR 2007»
15 years 3 months ago
Optimal Causal Inference
We consider an information-theoretic objective function for statistical modeling of time series that embodies a parametrized trade-off between the predictive power of a model and...
Susanne Still, James P. Crutchfield, Christopher J...
NN
2008
Springer
158views Neural Networks» more  NN 2008»
15 years 3 months ago
Optimal wide-area monitoring and nonlinear adaptive coordinating neurocontrol of a power system with wind power integration and
Wide-area coordinating control is becoming an important issue and a challenging problem in the power industry. This paper proposes a novel optimal wide-area coordinating neurocont...
Wei Qiao, Ganesh K. Venayagamoorthy, Ronald G. Har...