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Deep learning through sparse and low-rank modeling

Deep Learning through Sparse Representation and Low-Rank Modeling bridges classical sparse and low rank models-those that emphasize problem-specific Interpretability-with recent deep network models that have enabled a larger learning capacity and better utilization of Big Data. It shows how the tool...

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Other Authors: Wang, Zhangyang,, Fu, Yun,, Huang, Thomas S., 1936-, ScienceDirect (Online service)
Format: eBook
Language: English
Published: [Place of publication not identified] : Academic Press, an imprint of Elsevier, [2019]
Physical Description: 1 online resource.
Series: Computer vision and pattern recognition series.