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ORCIDDimitris Tzikas
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2010 – 2019
- 2010
[c10]Dimitris Tzikas, Aristidis Likas:
An Incremental Bayesian Approach for Training Multilayer Perceptrons. ICANN (1) 2010: 87-96
2000 – 2009
- 2009
- [b1]Dimitris Tzikas:
Μπεϋζιανές μέθοδοι για προβλήματα μηχανικής μάθησης και επεξεργασίας εικόνας. University of Ioannina, Greece, 2009 - [j5]Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos:
Variational Bayesian Sparse Kernel-Based Blind Image Deconvolution With Student's-t Priors. IEEE Trans. Image Process. 18(4): 753-764 (2009) - [j4]Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos:
Sparse Bayesian Modeling With Adaptive Kernel Learning. IEEE Trans. Neural Networks 20(6): 926-937 (2009) - [c9]Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos:
Local Feature Selection for the Relevance Vector Machine Using Adaptive Kernel Learning. ICANN (1) 2009: 50-59 - 2008
- [j3]Dimitris G. Tzikas, Aristidis C. Likas, Nikolas P. Galatsanos:
The variational approximation for Bayesian inference. IEEE Signal Process. Mag. 25(6): 131-146 (2008) - [c8]Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos:
Incremental Relevance Vector Machine with Kernel Learning. SETN 2008: 301-312 - 2007
- [j2]Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos:
Large Scale Multikernel Relevance Vector Machine for Object Detection. Int. J. Artif. Intell. Tools 16(6): 967-979 (2007) - [j1]Ana S. Lukic, Miles N. Wernick, Dimitris Tzikas, Xu Chen, Aristidis Likas, Nikolas P. Galatsanos, Yongyi Yang, E. Zhao, Stephen C. Strother
:
Bayesian Kernel Methods for Analysis of Functional Neuroimages. IEEE Trans. Medical Imaging 26(12): 1613-1624 (2007) - [c7]Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos:
Variational Bayesian Blind Image Deconvolution with Student-T Priors. ICIP (1) 2007: 109-112 - [c6]Dimitris Tzikas, Matjaz Kukar, Aristidis Likas:
Transductive Reliability Estimation for Kernel Based Classifiers. IDA 2007: 37-47 - [c5]Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos:
Robust variational bayesian kernel based blind image deconvolution. VISAPP (Special Sessions) 2007: 143-150 - 2006
- [c4]Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos:
Variational Bayesian blind image deconvolution based on a sparse kernel model for the point spread function. EUSIPCO 2006: 1-5 - [c3]Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos:
Large Scale Multikernel RVM for Object Detection. SETN 2006: 389-399 - 2004
- [c2]Dimitris G. Tzikas, Aristidis Likas, Nikolas P. Galatsanos, Ana S. Lukic, Miles N. Wernick:
Bayesian regression of functional neuroimages. EUSIPCO 2004: 801-804 - [c1]Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos, Ana S. Lukic, Miles N. Wernick:
Relevance Vector Machine Analysis of Functional Neuroimages. ISBI 2004: 1004-1007
Coauthor Index
aka: Aristidis C. Likas
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