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GECCO
2007
Springer
130views Optimization» more  GECCO 2007»
15 years 10 months ago
DCMA: yet another derandomization in covariance-matrix-adaptation
In a preliminary part of this paper, we analyze the necessity of randomness in evolution strategies. We conclude to the necessity of ”continuous”-randomness, but with a much m...
Olivier Teytaud, Sylvain Gelly
133
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ICA
2007
Springer
15 years 10 months ago
Signal Separation by Integrating Adaptive Beamforming with Blind Deconvolution
In this paper, we present a broadband two-microphone blind spatial separation technique by efficiently combining adaptive beamforming (ABF) with multichannel blind deconvolution (M...
Kostas Kokkinakis, Philipos C. Loizou
ICANNGA
2007
Springer
143views Algorithms» more  ICANNGA 2007»
15 years 10 months ago
A Model of Non-elemental Associative Learning in the Mushroom Body Neuropil of the Insect Brain
We developed a computational model of the mushroom body (MB), a prominent region of multimodal integration in the insect brain, and tested the model’s performance for non-element...
Jan Wessnitzer, Barbara Webb, Darren Smith
ISNN
2007
Springer
15 years 10 months ago
Neural-Based Separating Method for Nonlinear Mixtures
A neural-based method for source separation in nonlinear mixture is proposed in this paper. A cost function, which consists of the mutual information and partial moments of the out...
Ying Tan
SCALESPACE
2007
Springer
15 years 10 months ago
A Geometric-Functional-Based Image Segmentation and Inpainting
Abstract. The Mumford-Shah functional minimization, and related algorithms for image segmentation, involve a tradeoff between a twodimensional image structure and one-dimensional ...
Vladimir Kluzner, Gershon Wolansky, Yehoshua Y. Ze...