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Nikolaos Nasios
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2000 – 2009
- 2009
- [j3]Adrian G. Bors, Nikolaos Nasios:
Kernel Bandwidth Estimation for Nonparametric Modeling. IEEE Trans. Syst. Man Cybern. Part B 39(6): 1543-1555 (2009) - [c10]Adrian G. Bors, Nikolaos Nasios:
Bayesian Estimation of Kernel Bandwidth for Nonparametric Modelling. ICANN (2) 2009: 245-254 - 2008
- [c9]Adrian G. Bors, Nikolaos Nasios:
Kernel bandwidth estimation in methods based on probability density function modelling. ICPR 2008: 1-4 - 2007
- [j2]Nikolaos Nasios, Adrian G. Bors:
Kernel-based classification using quantum mechanics. Pattern Recognit. 40(3): 875-889 (2007) - 2006
- [b1]Nikolaos Nasios:
Bayesian learning for parametric and kernel density estimation. University of York, UK, 2006 - [j1]Nikolaos Nasios, Adrian G. Bors:
Variational learning for Gaussian mixture models. IEEE Trans. Syst. Man Cybern. Part B 36(4): 849-862 (2006) - 2005
- [c8]Nikolaos Nasios, Adrian G. Bors:
Finding the Number of Clusters for Nonparametric Segmentation. CAIP 2005: 213-221 - [c7]Nikolaos Nasios, Adrian G. Bors:
Variational segmentation of color images. ICIP (2) 2005: 614-617 - [c6]Nikolaos Nasios, Adrian G. Bors:
Nonparametric clustering using quantum mechanics. ICIP (3) 2005: 820-823 - 2004
- [c5]Nikolaos Nasios, Adrian G. Bors:
Segmentation of colour images using variational expectation-maximization algorithm. BMVC 2004: 1-10 - [c4]Nikolaos Nasios, Adrian G. Bors:
A Variational Approach for Color Image Segmentation. ICPR (1) 2004: 680-683 - 2003
- [c3]Nikolaos Nasios, Adrian G. Bors:
Blind Source Separation USing Variational Expectation-Maximization Algorithm. CAIP 2003: 442-450 - [c2]Nikolaos Nasios, Adrian G. Bors:
Variational expectation-maximization training for Gaussian networks. NNSP 2003: 339-348 - [c1]Nikolaos Nasios, Adrian G. Bors:
Variational Gaussian mixtures for blind source detection. SMC 2003: 474-479
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