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Constantinos Constantinopoulos
Constantinos Constantinopoulos
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Verified email at upatras.gr
Title
Cited by
Cited by
Year
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
2312006
Unsupervised learning of Gaussian mixtures based on variational component splitting
C Constantinopoulos, A Likas
IEEE Transactions on Neural Networks 18 (3), 745-755, 2007
1182007
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
792005
An incremental training method for the probabilistic RBF network
C Constantinopoulos, A Likas
IEEE Trans. Neural Networks 17 (4), 966-974, 2006
642006
Semi-supervised and active learning with the probabilistic RBF classifier
C Constantinopoulos, A Likas
Neurocomputing 71 (13-15), 2489-2498, 2008
232008
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
152011
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
142011
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
92012
Image modeling and segmentation using incremental Bayesian mixture models
C Constantinopoulos, A Likas
Computer Analysis of Images and Patterns: 12th International Conference …, 2007
72007
Active learning with the probabilistic RBF classifier
C Constantinopoulos, A Likas
International Conference on Artificial Neural Networks, 357-366, 2006
72006
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
22006
Efficient training algorithms for the probabilistic RBF network
C Constantinopoulos, A Likas
Methods and Applications of Artificial Intelligence: Third Hellenic …, 2004
22004
A Bayesian regularization method for the probabilistic RBF network
C Constantinopoulos, MK Titsias, A Likas
Hellenic Conference on Artificial Intelligence, 337-345, 2002
22002
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
12007
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
12006
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
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