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ESANN
2006
13 years 6 months ago
Determination of the Mahalanobis matrix using nonparametric noise estimations
In this paper, the problem of an optimal transformation of the input space for function approximation problems is addressed. The transformation is defined determining the Mahalanob...
Amaury Lendasse, Francesco Corona, Jin Hao, Nima R...
ANNPR
2006
Springer
13 years 8 months ago
Support Vector Regression Using Mahalanobis Kernels
Abstract. In our previous work we have shown that Mahalanobis kernels are useful for support vector classifiers both from generalization ability and model selection speed. In this ...
Yuya Kamada, Shigeo Abe
ICASSP
2011
IEEE
12 years 8 months ago
Source number estimation in impulsive noise environments using bootstrap techniques and robust statistics
We consider the problem of source number estimation in array processing when impulsive noise is present. To combat impulsive noise more effectively, two robust estimators with hig...
Zhihua Lu, Yacine Chakhchoukh, Abdelhak M. Zoubir
CVPR
2008
IEEE
14 years 7 months ago
Generalised blurring mean-shift algorithms for nonparametric clustering
Gaussian blurring mean-shift (GBMS) is a nonparametric clustering algorithm, having a single bandwidth parameter that controls the number of clusters. The algorithm iteratively sh...
Miguel Á. Carreira-Perpiñán
ESANN
2006
13 years 6 months ago
Consistent estimation of the architecture of multilayer perceptrons
Abstract. We consider regression models involving multilayer perceptrons (MLP) with one hidden layer and a Gaussian noise. The estimation of the parameters of the MLP can be done b...
Joseph Rynkiewicz