 | 2009 |
|---|
| 10 |       | Dimitris Tzikas,
Aristidis Likas,
Nikolas P. Galatsanos:
Local Feature Selection for the Relevance Vector Machine Using Adaptive Kernel Learning.
ICANN (1) 2009: 50-59 |
| 9 | | Dimitris Tzikas,
Aristidis Likas,
Nikolas P. Galatsanos:
Variational Bayesian Sparse Kernel-Based Blind Image Deconvolution With Student's-t Priors.
IEEE Transactions on Image Processing 18(4): 753-764 (2009) |
| 2008 |
|---|
| 8 | | Dimitris Tzikas,
Aristidis Likas,
Nikolas P. Galatsanos:
Incremental Relevance Vector Machine with Kernel Learning.
SETN 2008: 301-312 |
| 2007 |
|---|
| 7 | | Dimitris Tzikas,
Aristidis Likas,
Nikolas P. Galatsanos:
Variational Bayesian Blind Image Deconvolution with Student-T Priors.
ICIP (1) 2007: 109-112 |
| 6 | | Dimitris Tzikas,
Matjaz Kukar,
Aristidis Likas:
Transductive Reliability Estimation for Kernel Based Classifiers.
IDA 2007: 37-47 |
| 5 |  | Dimitris Tzikas,
Aristidis Likas,
Nikolas P. Galatsanos:
Robust variational bayesian kernel based blind image deconvolution.
VISAPP (Special Sessions) 2007: 143-150 |
| 4 | | Ana S. Lukic,
Miles N. Wernick,
Dimitris Tzikas,
X. Chen,
Aristidis Likas,
Nikolas P. Galatsanos,
Yongyi Yang,
E. Zhao,
Stephen C. Strother:
Bayesian Kernel Methods for Analysis of Functional Neuroimages.
IEEE Trans. Med. Imaging 26(12): 1613-1624 (2007) |
| 3 | | Dimitris Tzikas,
Aristidis Likas,
Nikolas P. Galatsanos:
Large Scale Multikernel Relevance Vector Machine for Object Detection.
International Journal on Artificial Intelligence Tools 16(6): 967-979 (2007) |
| 2006 |
|---|
| 2 | | Dimitris Tzikas,
Aristidis Likas,
Nikolas P. Galatsanos:
Large Scale Multikernel RVM for Object Detection.
SETN 2006: 389-399 |
| 2004 |
|---|
| 1 | | Dimitris Tzikas,
Aristidis Likas,
Nikolas P. Galatsanos,
Ana S. Lukic,
Miles N. Wernick:
Relevance Vector Machine Analysis of Functional Neuroimages.
ISBI 2004: 1004-1007 |
