Dimitris Tzikas

According to our database, Dimitris Tzikas authored at least 16 papers between 2004 and 2010.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2010

An Incremental Bayesian Approach for Training Multilayer Perceptrons.

Dimitris Tzikas, Aristidis Likas

Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

2009

Μπεϋζιανές μέθοδοι για προβλήματα μηχανικής μάθησης και επεξεργασίας εικόνας

Dimitris Tzikas

PhD thesis, 2009

Sparse Bayesian Modeling With Adaptive Kernel Learning.

Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos

IEEE Trans. Neural Networks, 2009

Variational Bayesian Sparse Kernel-Based Blind Image Deconvolution With Student's-t Priors.

Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos

IEEE Trans. Image Process., 2009

Local Feature Selection for the Relevance Vector Machine Using Adaptive Kernel Learning.

Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos

Proceedings of the Artificial Neural Networks, 2009

2008

The variational approximation for Bayesian inference.

Dimitris G. Tzikas, Aristidis C. Likas, Nikolas P. Galatsanos

IEEE Signal Process. Mag., 2008

Incremental Relevance Vector Machine with Kernel Learning.

Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos

Proceedings of the Artificial Intelligence: Theories, 2008

2007

Bayesian Kernel Methods for Analysis of Functional Neuroimages.

Ana S. Lukic, Miles N. Wernick, Dimitris Tzikas, Xu Chen, Aristidis Likas, Nikolas P. Galatsanos, Yongyi Yang, E. Zhao, Stephen C. Strother

IEEE Trans. Medical Imaging, 2007

Large Scale Multikernel Relevance Vector Machine for Object Detection.

Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos

Int. J. Artif. Intell. Tools, 2007

Robust variational bayesian kernel based blind image deconvolution.

Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos

Proceedings of the VISAPP 2007: Proceedings of the Second International Conference on Computer Vision Theory and Applications, Barcelona, Spain, March 8-11, 2007, 2007

Transductive Reliability Estimation for Kernel Based Classifiers.

Dimitris Tzikas, Matjaz Kukar, Aristidis Likas

Proceedings of the Advances in Intelligent Data Analysis VII, 2007

Variational Bayesian Blind Image Deconvolution with Student-T Priors.

Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos

Proceedings of the International Conference on Image Processing, 2007

2006

Large Scale Multikernel RVM for Object Detection.

Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos

Proceedings of the Advances in Artificial Intelligence, 4th Helenic Conference on AI, 2006

Variational Bayesian blind image deconvolution based on a sparse kernel model for the point spread function.

Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos

Proceedings of the 14th European Signal Processing Conference, 2006

2004

Relevance Vector Machine Analysis of Functional Neuroimages.

Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos, Ana S. Lukic, Miles N. Wernick

Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

Bayesian regression of functional neuroimages.

Dimitris G. Tzikas, Aristidis Likas, Nikolas P. Galatsanos, Ana S. Lukic, Miles N. Wernick

Proceedings of the 2004 12th European Signal Processing Conference, 2004