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pro vyhledávání: '"M.E. Zervakis"'
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Publikováno v:
Journal of Intelligent & Robotic Systems. 12:301-315
As the applications of fuzzy-controllers become more complicated, the attributes of self-organization and trainability become increasingly important. Indeed, the specification of fuzzy rules and membership functions for systems with a large number of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b876ff4356bb76ca45e0bf4fae8e8e61
https://doi.org/10.1007/bf01262966
https://doi.org/10.1007/bf01262966
Autor:
M.E. Zervakis, Taek Mu Kown
Publikováno v:
Multidimensional Systems and Signal Processing. 6:333-346
Winner-Take-All (WTA) or K-Winner-Take-All (KWTA) networks have been frequently used as the basic building blocks of complex neural networks. This paper introduces a new selection rule for network connections that implements stable KWTA networks. To
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b098a4a39e6b55a2afcaf56e9764f2d8
https://doi.org/10.1007/bf00983559
https://doi.org/10.1007/bf00983559
Publikováno v:
IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing. 42:578-591
This paper proposes an image restoration approach in the wavelet domain that directly associates multiresolution with multichannel image processing. We express the formation of the multiresolution image as an operator on the image domain that transfo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e65c749eb99cfc4368197c3dbf024d14
https://doi.org/10.1109/82.466646
https://doi.org/10.1109/82.466646
Autor:
M.E. Zervakis, Taek Mu Kwon
Publikováno v:
International Journal of Adaptive Control and Signal Processing. 8:407-431
This paper introduces a fuzzy controller that can be designed without specific information on the membership functions and the fuzzy rules. We show how the membership values of crisp inputs can be determined by K-nearest-neighbour (KNN) distance meas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e2fbff3d0335309568539d44eaf33be
https://doi.org/10.1002/acs.4480080409
https://doi.org/10.1002/acs.4480080409
Autor:
M.E. Zervakis
Publikováno v:
Journal of Visual Communication and Image Representation. 3:392-411
In this paper, we present an efficient algorithm for the problem of multichannel image restoration. Existing multichannel techniques do not provide sufficient flexibility for the simultaneous suppression of the noise process and the preservation of s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02d6987a39754c602205bcf13e6e4d4c
https://doi.org/10.1016/1047-3203(92)90042-r
https://doi.org/10.1016/1047-3203(92)90042-r
Publikováno v:
Multidimensional Systems and Signal Processing. 3:381-408
In this paper the joint optimization of different criteria is addressed, as a powerful means of incorporatinga priori information in linear image-restoration algorithms. Theconstrained mean-square-error (CMSE) approach is introduced, which enables th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::151c9ea763cc3be7557432d8f0bbb89d
https://doi.org/10.1007/bf01940232
https://doi.org/10.1007/bf01940232
Publikováno v:
IEEE Transactions on Signal Processing. 40:927-945
The concept of iterative least squares estimation as applied to nonlinear image restoration is considered. Regarding the convergence analysis of nonlinear iterative algorithms, the potential of the global convergence theorem (GCT) is explored. The th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30172f5cf9e92eda7c8796d1ec05cf74
https://doi.org/10.1109/78.127964
https://doi.org/10.1109/78.127964