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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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Bibliographic Details
Call Number:Libro Electrónico
Other Authors: Wang, Zhangyang (Editor), Fu, Yun (Editor), Huang, Thomas S., 1936- (Editor)
Format: Electronic eBook
Language:Inglés
Published: [Place of publication not identified] : Academic Press, an imprint of Elsevier, [2019]
Series:Computer vision and pattern recognition series.
Subjects:
Online Access:Texto completo (Requiere registro previo con correo institucional)