| 2007 |
|---|
| 8 | EE | Constantinos Constantinopoulos,
Aristidis Likas:
Image Modeling and Segmentation Using Incremental Bayesian Mixture Models.
CAIP 2007: 596-603 |
| 7 | EE | Constantinos Constantinopoulos,
Aristidis Likas:
Unsupervised Learning of Gaussian Mixtures Based on Variational Component Splitting.
IEEE Transactions on Neural Networks 18(3): 745-755 (2007) |
| 2006 |
|---|
| 6 | EE | Constantinos Constantinopoulos,
Aristidis Likas:
Active Learning with the Probabilistic RBF Classifier.
ICANN (1) 2006: 357-366 |
| 5 | EE | Constantinos Constantinopoulos,
Michalis K. Titsias,
Aristidis Likas:
Bayesian Feature and Model Selection for Gaussian Mixture Models.
IEEE Trans. Pattern Anal. Mach. Intell. 28(6): 1013-1018 (2006) |
| 4 | EE | Constantinos Constantinopoulos,
Aristidis Likas:
An incremental training method for the probabilistic RBF network.
IEEE Transactions on Neural Networks 17(4): 966-974 (2006) |
| 2005 |
|---|
| 3 | EE | Giorgos Sfikas,
Constantinos Constantinopoulos,
Aristidis Likas,
Nikolas P. Galatsanos:
An Analytic Distance Metric for Gaussian Mixture Models with Application in Image Retrieval.
ICANN (2) 2005: 835-840 |
| 2004 |
|---|
| 2 | EE | Constantinos Constantinopoulos,
Aristidis Likas:
Efficient Training Algorithms for the Probabilistic RBF Network.
SETN 2004: 183-190 |
| 2002 |
|---|
| 1 | EE | Constantinos Constantinopoulos,
Michalis K. Titsias,
Aristidis Likas:
A Bayesian Regularization Method for the Probabilistic RBF Network.
SETN 2002: 337-345 |
