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» Nonlinear functional regression: a functional RKHS approach
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ICASSP
2011
IEEE
14 years 1 months ago
Estimation of cortical connectivity from E/MEG using nonlinear state-space models
We present the problem of estimating cortical connectivity between different regions of the cortex from scalp electroencephalographic (EEG) or magnetoencephalographic (MEG) data a...
Bing Leung, Patrick Cheung, Barry D. Van Veen
GECCO
2006
Springer
177views Optimization» more  GECCO 2006»
15 years 1 months ago
Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure
The learning classifier system XCS is an iterative rulelearning system that evolves rule structures based on gradient-based prediction and rule quality estimates. Besides classifi...
Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson
PAMI
2006
178views more  PAMI 2006»
14 years 9 months ago
Learning Nonlinear Image Manifolds by Global Alignment of Local Linear Models
Appearance-based methods, based on statistical models of the pixel values in an image (region) rather than geometrical object models, are increasingly popular in computer vision. I...
Jakob J. Verbeek
SACI
2007
IEEE
15 years 4 months ago
A Computational Intelligence Approach for Ranking Risk Factors in Preterm Birth
- The aim of this paper is to propose a filter, based on a multi-objective evolutionary algorithm, for attributes’ ranking in the context of a data mining task. The behavior of t...
Daniela Zaharie, Stefan Holban, Diana Lungeanu, Da...
ICASSP
2010
IEEE
14 years 10 months ago
Nonlinear kernel backprojection for computed tomography
In this paper, we propose a kernel backprojection method for computed tomography. The classical backprojection method estimates an unknown pixel value by the summation of the proj...
Hiroyuki Takeda, Peyman Milanfar