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ICNC
2005
Springer
14 years 1 months ago
A Game-Theoretic Approach to Competitive Learning in Self-Organizing Maps
Abstract. Self-Organizing Maps (SOM) is a powerful tool for clustering and discovering patterns in data. Competitive learning in the SOM training process focusses on finding a neu...
Joseph P. Herbert, Jingtao Yao
JGTOOLS
2007
144views more  JGTOOLS 2007»
13 years 7 months ago
Faster Relief Mapping using the Secant Method
Relief mapping using the secant method offers an efficient method for adding per pixel height field based displacement to an arbitrary polygonal mesh in real time. The technique...
Eric Risser, Musawir Shah, Sumanta N. Pattanaik
TSP
2008
87views more  TSP 2008»
13 years 7 months ago
A Proof of Convergence of the MAP Turbo-Detector to the AWGN Case
In this paper, we consider a coded transmission over a frequency selective channel. We propose to study analytically the convergence of the turbo-detector using a maximum a poster...
Noura Sellami, Aline Roumy, Inbar Fijalkow
ICASSP
2011
IEEE
12 years 11 months ago
Joint reduce of metal and beam hardening artifacts using Multi-Energy map approach in X-ray Computed Tomography
Metal and beam-hardening artifacts are tough issues in Computed Tomography (CT) images. This paper proposes an iterative Maximum A Posteriori (MAP) reconstruction algorithm aiming...
Yuling Zheng, Caifang Cai, Thomas Rodet
ICIP
2005
IEEE
14 years 9 months ago
An adaptive segmentation-based regularization term for image restoration
This paper proposes an original inhomogeneous restoration (deconvolution) model under the Bayesian framework. In this model, regularization is achieved, during the iterative resto...
Max Mignotte