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Recent works have demonstrated that image descriptors produced by convolutional feature maps provide state-of-the-art performance for image retrieval and classification problems. However, features from a single convolutional layer are not robust enough for shape deformation, scale variation, and heavy occlusion. In this letter, we present a simple and straightforward approach for extracting multiscale...
A functional neural network for handwritten digits recognition using single binary RRAM as the synaptic weight element, was presented, with successful recognition rate is up to 81%. The results show that multilevel or continual resistances is not necessary for resistive device used as synaptic weight element in hardware neural network application. Variation of RRAM devices, sometimes, would not affect,...
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