Multidimensional Hebbian Learning With Temporal Coding in Neocognitron Visual Recognition
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DOI: 10.1109/tsmc.2016.2599200
Abstract: Previous work on Fuskushima’s neocognitron neural network model has mostly focused on binary character recognition, but grayscale images are preferable to binary images in real applications. Image classes of grayscale objects can be formed with… read more here.
Keywords: learning temporal; coding neocognitron; temporal coding; multidimensional hebbian ... See more keywords