Multi-valued and universal binary neurons: mathematical model, learning, networks, application to image processing and pattern recognition von Aizenberg, N.N., Aizenberg, I.N., Krivosheev, G.A.

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CNN based on multi-valued neuron as a model of associative memory for grey scale images von Aizenberg, N.N., Aizenberg, I.N.

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CNN-like networks based on multi-valued and universal binary neurons: learning and application to image processing von Aizenberg, N.N., Aizenberg, I.N.

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THREE-INPUT UNIVERSAL NEUTRAL ELEMENT von AIZENBERG I.N, AIZENBERG N.N

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METHOD OF INFORMATION ENCRYPTION von AIZENBERG I.N, AIZENBERG N.N

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Solution of the super-resolution problem by multi-valued nonlinear filtering, and its implementation using cellular neural networks von Aizenberg, I.N., Aizenberg, N.N., Vandewalle, J.

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Extraction and localization of important features an gray-scale images: implementation on the CNN von Aizenberg, N.N., Aizenberg, I.N., Belikova, T.P.

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Precise edge detection: representation by Boolean functions, implementation on the CNN von Aizenberg, I.N., Aizenberg, N.N., Vandewalle, J.

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CNN based on universal binary neurons: learning algorithm with error-correction and application to impulsive-noise filtering on gray-scale images von Aizenberg, N.N., Aizenberg, I.N., Krivosheev, G.A.

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The use of convolution algebras to construct correct recognition algorithms von Aizenberg, N.N., Zhuravlev, Yu.I., Pilyugin, S.V.

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