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A great deal of research has focused on using convolutional neural network for optical character recognition. However we encountered two typical problem in this field when applied convolutional neural network to handwritten Yi character recognition. First, since convolutional neural network is a kind of supervised deep learning model, the manual training data labeling is a very time consuming and...
This paper presents a high performance parallel formulation for 1-D FFT based on transpose algorithm. The parallel scheme of FFT trades off some efficiency for a more consistent level of parallel performance. It involves matrix transposition, and a new in-place transposing algorithm is introduced into the parallel matrix transposition to improve the efficiency. Depending on the size of the input n,...
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