Blind Source Separation USing Variational Expectation-Maximization Algorithm. - Nikolaos Nasios; Adrian G. Bors (CAIP, 2003)

Variational expectation-maximization training for Gaussian networks. - Nikolaos Nasios; Adrian G. Bors (NNSP, 2003)

Variational Gaussian mixtures for blind source detection. - Nikolaos Nasios; Adrian G. Bors (SMC, 2003)

Segmentation of colour images using variational expectation-maximization algorithm. - Nikolaos Nasios; Adrian G. Bors (BMVC, 2004)

A Variational Approach for Color Image Segmentation. - Nikolaos Nasios; Adrian G. Bors (ICPR (1), 2004)

Finding the Number of Clusters for Nonparametric Segmentation. - Nikolaos Nasios; Adrian G. Bors (CAIP, 2005)

Variational segmentation of color images. - Nikolaos Nasios; Adrian G. Bors (ICIP (2), 2005)

Nonparametric clustering using quantum mechanics. - Nikolaos Nasios; Adrian G. Bors (ICIP (3), 2005)

Variational learning for Gaussian mixture models. - Nikolaos Nasios; Adrian G. Bors (IEEE Trans. Syst. Man Cybern. Part B, 2006)

Bayesian learning for parametric and kernel density estimation. - Nikolaos Nasios (2006)

Kernel-based classification using quantum mechanics. - Nikolaos Nasios; Adrian G. Bors (Pattern Recognit., 2007)

Kernel bandwidth estimation in methods based on probability density function modelling. - Adrian G. Bors; Nikolaos Nasios (ICPR, 2008)

Bayesian Estimation of Kernel Bandwidth for Nonparametric Modelling. - Adrian G. Bors; Nikolaos Nasios (ICANN (2), 2009)

Kernel Bandwidth Estimation for Nonparametric Modeling. - Adrian G. Bors; Nikolaos Nasios (IEEE Trans. Syst. Man Cybern. Part B, 2009)