Zobrazeno 1 - 5
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pro vyhledávání: '"Naoko Uemoto"'
Publikováno v:
Neurological Research. 23:435-446
Artificial neural networks can be exploited to solve inverse problems arising from the estimation of neural activities in the brain. In this paper, we review the network inversion techniques for solving inverse problems with special attention directe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a78bf7abe02a1efe24b9fbee4744662e
https://doi.org/10.1179/016164101101198820
https://doi.org/10.1179/016164101101198820
Autor:
Y. Kosugi, Naoko Uemoto
Publikováno v:
Systems and Computers in Japan. 30:23-31
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::159444989590a89ccc6b40a8823ae149
https://doi.org/10.1002/(sici)1520-684x(199907)30:8<23::aid-scj3>3.0.co
https://doi.org/10.1002/(sici)1520-684x(199907)30:8<23::aid-scj3>3.0.co
Publikováno v:
Methods of Information in Medicine. 36:329-331
In PET image analysis, conventional deconvolution alone will not give sufficient information for a precise study of a localized brain function. In the deconvolution process, which is a type of inverse problem, it is important to confine the solution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4938b20f66af3467cd9fb63facc3ea3e
https://doi.org/10.1055/s-0038-1636869
https://doi.org/10.1055/s-0038-1636869
Publikováno v:
ICIP (2)
For image segmentation with the aid of neural networks of a reasonable size, it is important to select the most effective combination of secondary indices to be used for the classification. Here, the authors introduce a vector quantized conditional c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61a6d08838bd9e7614e4e6b4e537d07d
https://doi.org/10.1109/icip.1996.560762
https://doi.org/10.1109/icip.1996.560762
Conference
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