Supervised Deep Sparse Coding Networks for Image Classification
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, pp. 405-418, 2020.
In this paper, we propose a novel deep sparse coding network (SCN) capable of efficiently adapting its own regularization parameters for a given application. The network is trained end-to-end with a supervised task-driven learning algorithm via error backpropagation. During training, the network learns both the dictionaries and the regula...More
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