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

Corporate Author:	ScienceDirect (Online service)
Other Authors:	Wang, Zhangyang (Editor), Fu, Yun (Editor), Huang, Thomas S., 1936- (Editor)
Format:	eBook
Language:	English
Published:	[Place of publication not identified] : Academic Press, an imprint of Elsevier, [2019]
Series:	Computer vision and pattern recognition series.
Subjects:	Machine learning. Apprentissage automatique. COMPUTERS > General. Machine learning Electronic books.
Online Access:	Connect to the full text of this electronic book