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Dimitris Tzikas
Dimitris Tzikas
Verified email at cs.uoi.gr
Title
Cited by
Cited by
Year
The variational approximation for Bayesian inference
DG Tzikas, AC Likas, NP Galatsanos
IEEE Signal Processing Magazine 25 (6), 131-146, 2008
9302008
Variational Bayesian sparse kernel-based blind image deconvolution with Student's-t priors
DG Tzikas, AC Likas, NP Galatsanos
IEEE transactions on image processing 18 (4), 753-764, 2009
1142009
Sparse Bayesian modeling with adaptive kernel learning
DG Tzikas, AC Likas, NP Galatsanos
IEEE Transactions on Neural Networks 20 (6), 926-937, 2009
602009
A tutorial on relevance vector machines for regression and classification with applications
DG Tzikas, L Wei, A Likas, Y Yang, NP Galatsanos
EURASIP News Letter 17 (2), 4, 2006
522006
Bayesian kernel methods for analysis of functional neuroimages
AS Lukic, MN Wernick, DG Tzikas, X Chen, A Likas, NP Galatsanos, ...
IEEE Transactions on Medical Imaging 26 (12), 1613-1624, 2007
302007
Variational bayesian blind image deconvolution with student-t priors
D Tzikas, A Likas, N Galatsanos
2007 IEEE International Conference on Image Processing 1, I-109-I-112, 2007
292007
Large scale multikernel relevance vector machine for object detection
D Tzikas, A Likas, N Galatsanos
International Journal on Artificial Intelligence Tools 16 (06), 967-979, 2007
142007
Relevance vector machine analysis of functional neuroimages
DG Tzikas, A Likas, NP Galatsanos, AS Lukic, MN Wernick
2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro …, 2004
142004
Large scale multikernel RVM for object detection
D Tzikas, A Likas, N Galatsanos
Hellenic Conference on Artificial Intelligence, 389-399, 2006
132006
Incremental relevance vector machine with kernel learning
D Tzikas, A Likas, N Galatsanos
Hellenic Conference on Artificial Intelligence, 301-312, 2008
112008
An incremental bayesian approach for training multilayer perceptrons
D Tzikas, A Likas
International Conference on Artificial Neural Networks, 87-96, 2010
92010
Transductive reliability estimation for kernel based classifiers
D Tzikas, M Kukar, A Likas
International Symposium on Intelligent Data Analysis, 37-47, 2007
62007
Bayesian regression of functional neuroimages
DG Tzikas, A Likas, NP Galatsanos, AS Lukic, MN Wernick
2004 12th European Signal Processing Conference, 801-804, 2004
62004
Local feature selection for the relevance vector machine using adaptive kernel learning
D Tzikas, A Likas, N Galatsanos
Artificial Neural Networks–ICANN 2009: 19th International Conference …, 2009
42009
Robust variational bayesian kernel based blind image deconvolution.
D Tzikas, A Likas, NP Galatsanos
VISAPP (Special Sessions), 143-150, 2007
22007
Variational Bayesian blind image deconvolution based on a sparse kernel model for the point spread function
D Tzikas, A Likas, N Galatsanos
2006 14th European Signal Processing Conference, 1-5, 2006
22006
Life After the EM Algorithm: The Variational Approximation for Bayesian Inference
D Tzikas, A Likas, N Galatsanos
IEEE Signal Processing Magazine 25 (6), 0
2
Bayesian bid based on a kernel model for the point spread function
D Tzikas, A Likas, N Galatsanos
Proceedings of International Conference on Image Processing, 0
1
Kernel Methods for Functional Neuroimaging Analysis
AS Lukic, MN Wernick, DG Tzikas, X Chen, A Likas, NP Galatsanos, ...
2006 Fortieth Asilomar Conference on Signals, Systems and Computers, 161-165, 2006
2006
Local Feature Selection using Adaptive Kernel Learning for the Relevance Vector Machine
D Tzikas, A Likas, N Galatsanos
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