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- W2003131720 abstract "A gray-level discrete associative-memory neural network based on object decomposition and composition is presented. By decomposing a gray-level pattern into bipolar/binary subpatterns, a gray-level discrete associative memory can be constructed from the composition of the subpattern channel results. Preprocessing for removing dc bias and normalizing the gray-level scale is performed on the input gray-level pattern. This eliminates the mismatching and saturation problems caused by bias level, which shifts the pattern gray levels throughout the pattern. Computer-simulation and optical-experimental results for a gray-level interpattern association model are shown to be consistent with the theoretical model." @default.
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- W2003131720 date "1993-03-10" @default.
- W2003131720 modified "2023-09-27" @default.
- W2003131720 title "Gray-level discrete associative memory" @default.
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- W2003131720 doi "https://doi.org/10.1364/ao.32.001322" @default.
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