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In this letter, a band-selection approach based on the deep convolutional neural network (CNN) and distance density (DD) is proposed. This method effectively mitigates the curse of dimensionality for hyperspectral images (HSIs). First, we use the hyperspectral full-band data to train a custom 1-D CNN to obtain a well-trained model. Second, we select band combinations based on DD. Using the rectified...
Music industry is one of the traditional industries that is deeply influenced by the new computing strategy for big data. This paper aims to discuss a new solution for the digital music dissemination in big data era. By analyzing the features of big data, the key points of digital music dissemination and the participants in this industry, we put forward a dissemination model for digital music and...
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