Bayesian feature and model selection for Gaussian mixture models C Constantinopoulos, MK Titsias, A Likas IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (6), 1013-1018, 2006 | 233 | 2006 |
Unsupervised learning of Gaussian mixtures based on variational component splitting C Constantinopoulos, A Likas IEEE Transactions on Neural Networks 18 (3), 745-755, 2007 | 119 | 2007 |
An analytic distance metric for Gaussian mixture models with application in image retrieval G Sfikas, C Constantinopoulos, A Likas, NP Galatsanos Artificial Neural Networks: Formal Models and Their Applications–ICANN 2005 …, 2005 | 79 | 2005 |
An incremental training method for the probabilistic RBF network C Constantinopoulos, A Likas IEEE Trans. Neural Networks 17 (4), 966-974, 2006 | 64 | 2006 |
Semi-supervised and active learning with the probabilistic RBF classifier C Constantinopoulos, A Likas Neurocomputing 71 (13-15), 2489-2498, 2008 | 23 | 2008 |
A robust pipeline for logo detection C Constantinopoulos, E Meinhardt-Llopis, Y Liu, V Caselles 2011 IEEE International Conference on Multimedia and Expo, 1-6, 2011 | 15 | 2011 |
Efficiently explaining decisions of probabilistic RBF classification networks M Robnik-Šikonja, A Likas, C Constantinopoulos, I Kononenko, ... Adaptive and Natural Computing Algorithms: 10th International Conference …, 2011 | 15 | 2011 |
On affine invariant descriptors related to SIFT R Sadek, C Constantinopoulos, E Meinhardt, C Ballester, V Caselles SIAM Journal on Imaging Sciences 5 (2), 652-687, 2012 | 9 | 2012 |
Image modeling and segmentation using incremental Bayesian mixture models C Constantinopoulos, A Likas Computer Analysis of Images and Patterns: 12th International Conference …, 2007 | 7 | 2007 |
Active learning with the probabilistic RBF classifier C Constantinopoulos, A Likas International Conference on Artificial Neural Networks, 357-366, 2006 | 7 | 2006 |
Active Bayesian Mixture Learning for Image Modeling and Segmentation using Lowlevel Features C Constantinopoulos, A Likas 2006 16th IEEE Signal Processing Society Workshop on Machine Learning for …, 2006 | 2 | 2006 |
Efficient training algorithms for the probabilistic RBF network C Constantinopoulos, A Likas Methods and Applications of Artificial Intelligence: Third Hellenic …, 2004 | 2 | 2004 |
A Bayesian regularization method for the probabilistic RBF network C Constantinopoulos, MK Titsias, A Likas Hellenic Conference on Artificial Intelligence, 337-345, 2002 | 2 | 2002 |
An efficient method for explaining the decisions of the probabilistic RBF classification network M Robnik-Šikonja, A Likas, C Constantinopoulos, I Kononenko University of Ljubljana (FRI) and University of Ioannina (DCS), Tech. Rep, 2007 | 1 | 2007 |
An Active Learning Approach for Training the Probabilistic RBF Classification Network C Constantinopoulos, A Likas The Second International Workshop on Artificial Neural Networks and …, 2006 | 1 | 2006 |
A GREEDY METHOD FOR MIXTURE-BASED CLASSIFICATION C CONSTANTINOPOULOS, A LIKAS Advances In Scattering And Biomedical Engineering, 244-251, 2004 | | 2004 |
D. Frossyniotis, S. Vrettos, D. Vogiatzis & A. Stafylopatis C Constantinopoulos, D Fotiadis, A Likas, A Naka, T Tzimas, LK Michalis | | |
A Bayesian Approach for Feature and Model Selection in Mixture-Based Clustering C Constantinopoulos, MK Titsias, A Likas | | |