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» Metropolis-Hastings algorithms with adaptive proposals
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110
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ICIP
1998
IEEE
15 years 5 months ago
Spatially Adaptive Wavelet Thresholding with Context Modeling for Image Denoising
The method of wavelet thresholding for removing noise, or denoising, has been researched extensively due to its effectiveness and simplicity. Much of the literature has focused on ...
S. Grace Chang, Bin Yu, Martin Vetterli
GECCO
2010
Springer
195views Optimization» more  GECCO 2010»
15 years 4 months ago
Improved step size adaptation for the MO-CMA-ES
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is an evolutionary algorithm for continuous vector-valued optimization. It combines indicator-based...
Thomas Voß, Nikolaus Hansen, Christian Igel
107
Voted
ICASSP
2011
IEEE
14 years 4 months ago
One sentence voice adaptation using GMM-based frequency-warping and shift with a sub-band basis spectrum model
This paper presents a rapid voice adaptation algorithm using GMM-based frequency warping and shift with parameters of a subband basis spectrum model (SBM)[1]. The SBM parameter re...
Masatsune Tamura, Masahiro Morita, Takehiko Kagosh...
IJCAI
1997
15 years 2 months ago
A Music Stream Segregation System Based on Adaptive Multi-Agents
A principal problem of auditory scene analysis is stream segregation: decomposing an input acoustic signal into signals of individual sound sources included in the input. While ex...
Kunio Kashino, Hiroshi Murase
103
Voted
IOR
2006
163views more  IOR 2006»
15 years 21 days ago
Adaptive Importance Sampling Technique for Markov Chains Using Stochastic Approximation
For a discrete-time finite-state Markov chain, we develop an adaptive importance sampling scheme to estimate the expected total cost before hitting a set of terminal states. This s...
T. P. I. Ahamed, Vivek S. Borkar, S. Juneja