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» Kernel Independent Component Analysis
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ICASSP
2011
IEEE
12 years 11 months ago
Performance analysis of MDL criterion for the detection of noncircular or/and nonGaussian components
This paper presents an asymptotic analysis of the eigen value decomposition (EVD) of the sample covariance matrix associated with independent identically distributed (IID) non nec...
Jean Pierre Delmas, Yann Meurisse
ICA
2007
Springer
14 years 1 months ago
Comparative Speed Analysis of FastICA
FastICA is arguably one of the most widespread methods for independent component analysis. We focus on its deflation-based implementation, where the independent components are ext...
Vicente Zarzoso, Pierre Comon
IJCNN
2007
IEEE
14 years 1 months ago
Generalised Kernel Machines
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...
Gavin C. Cawley, Gareth J. Janacek, Nicola L. C. T...
ICANN
2007
Springer
13 years 11 months ago
Fuzzy Classifiers Based on Kernel Discriminant Analysis
In this paper, we discuss fuzzy classifiers based on Kernel Discriminant Analysis (KDA) for two-class problems. In our method, first we employ KDA to the given training data and ca...
Ryota Hosokawa, Shigeo Abe
GG
2008
Springer
13 years 8 months ago
Formal Analysis of Model Transformations Based on Triple Graph Rules with Kernels
Abstract. Triple graph transformation has become an important approach for model transformations. Triple graphs consist of a source, a target and a connection graph. The correspond...
Hartmut Ehrig, Ulrike Prange