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» Convergence Properties of the K-Means Algorithms
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DAGSTUHL
2006
15 years 1 months ago
How fast does the stationary distribution of the Markov chain modelling EAs concentrate on the homogeneous populations for small
One of the main difficulties faced when analyzing Markov chains modelling evolutionary algorithms is that their cardinality grows quite fast. A reasonable way to deal with this iss...
Boris Mitavskiy, Jonathan E. Rowe
ERSA
2006
115views Hardware» more  ERSA 2006»
15 years 1 months ago
Reconfigurable Acceleration of Robust Frequency-Domain Echo Cancellation
Acoustic echo control is of vital interest for hands-free operation of telecommunications equipment. An important property of an acoustic echo controller is its capability to hand...
Chun Hok Ho, Ka Fai Cedric Yiu, Jiaquan Huo, Sven ...
AAAI
1998
15 years 1 months ago
Bayesian Q-Learning
A central problem in learning in complex environmentsis balancing exploration of untested actions against exploitation of actions that are known to be good. The benefit of explora...
Richard Dearden, Nir Friedman, Stuart J. Russell
CORR
2010
Springer
109views Education» more  CORR 2010»
14 years 11 months ago
Fast space-variant elliptical filtering using box splines
The efficient realization of linear space-variant (non-convolution) filters is a challenging computational problem in image processing. In this paper, we demonstrate that it is po...
Kunal Narayan Chaudhury, Arrate Muñoz-Barru...
TASLP
2008
102views more  TASLP 2008»
14 years 11 months ago
Acoustic Source Separation of Convolutive Mixtures Based on Intensity Vector Statistics
Various techniques have previously been proposed for the separation of convolutive mixtures. These techniques can be classified as stochastic, adaptive, and deterministic. Stochast...
Banu Gunel, Hüseyin Hacihabiboglu, Ahmet M. K...