Robust and adaptive techniques in self-organizing neural networks

References

• Haykin , S. 1994 . Neural Networks: A Comprehensive Foundation , Englewood Cliffs, N.J : Macmillan Publ. Co. .
   Google Scholar
• Kohonen , T. K. 1989 . Self-Organization and Associative Memory , 3rd ed. , Berlin, , Heidelberg : Springer-Verlag .
   Google Scholar
• Pitas , I. , Kotropoulos , C. , Nikolaidis , N. , Yang , R. and Gabbouj , M. 1996 . Order Statistics Learning Vector Quantizer . Special Issue on Nonlinear Image processing, IEEE Trans, on Image Processing , 6 : 1048 – 1056 .
   Google Scholar
• Pitas , I. , Kotropoulos , C. , Nikolaidis , N. , Yang , R. and Gabbouj , M. 1994 . Proc. of the IEEE Int. Symposium on Circuits and Systems (ISCAS 94) . A class of order statistics Learning Vector Quantizers . 1994 . pp. 387 – 390 .
   Google Scholar
• Kotropoulos , C. , Pitas , I. and Gabbouj , M. 1994 . Proc. of the European Signal Processing Conference (EUSIPCO '94) . Marginal Median Learning Vector Quantizer . 1994 . pp. 1496 – 1499 .
   Google Scholar
• Kotropoulos , C. , Magnisalis , X. , Pitas , I. and Strintzis , M. G. 1994 . Nonlinear ultrasonic image processing based on signal-adaptive filters and self-organizing neural networks . IEEE Trans, on Image Processing , 3 65 – 77 .
   PubMed Web of Science ®Google Scholar
• Kofidis , E. , Theodoridis , S. , Kotropoulos , C. and Pitas , I. 1994 . Segmentation-based L-filtering of speckle-noise in ultrasonic images . Proc. SPIE Symposium on Electronic Imaging Science and Technology: Nonlinear Image Processing V , 2180 280 – 288 . Chairs: Dougherty E. R., Astola J. and Longbotham C. H
   Google Scholar
• Kotropoulos , C. and Pitas , I. 1993 . “ A variant of Learning Vector Quantizer based on split-merge statistical tests ” . In Lecture Notes in Computer Science: Computer Analysis of Images and Patterns , Edited by: Chetverikov , D. and Kropatsch , W. G. 822 – 829 . Springer Verlang .
   Google Scholar
• Kotropoulos , C. and Pitas , I. 1993 . Proc. of the European Conference on Circuit Theory and Design (ECCTD '93) . Split-merge Learning Vector Quantizer algorithm . 1993 . pp. 465 – 468 .
   Google Scholar
• Kotropoulos , C. , Auge , E. and Pitas , I. 1992 . “ Two layer Learning Vector Quantizer for color image quantization ” . In Signal Processing VI: Theories and Applications , 1177 – 1180 . Elsevier .
   Google Scholar
• Borş , A. G. and Pitas , I. Median radial basis functions neural network . IEEE Trans, on Neural Networks , 7 ( 6 ) 1351 – 1364 .
   PubMed Web of Science ®Google Scholar
• Borş A. G. Pitas I. Optical flow estimation and moving object segmentation based on median radial basis function network,accepted at IEEE Trans, on Image Processing.
   Google Scholar
• Pitas , I. and Venetsanopoulos , A. N. 1990 . Nonlinear Digital Filters: Principles and Applications , Hingham, MA : Kluwer Academic, Publishers .
   Google Scholar
• Barnett , V. 1976 . The ordering of multivariate data . J. R. Statist. Soc. A , 139 ( 3 ) : 318 – 354 .
   Web of Science ®Google Scholar
• Huang , T. S. , Yang , G. J. and Tang , G. Y. 1979 . A fast two-dimensional median filtering algorithm . IEEE Trans. on Acoustics, Speech and Signal Processing , 27 ( 3 ) : 13 – 18 .
   Google Scholar
• Kotropoulos , C. and Pitas , I. 1992 . Optimum nonlinear signal detection and estimation in the presence of ultrasonic speckle . Ultrasonic Imaging , 14 ( 3 ) : 249 – 275 .
   PubMed Web of Science ®Google Scholar
• Heitz , F. and Bouthemy , P. 1993 . Multimodal estimation of discontinuous optical flow using Markov Random Fields . IEEE Trans. on Pattern Anal, and Machine Intel. , PAMI-15 ( 12 ) Dec : 1217 – 1232 .
   Web of Science ®Google Scholar