Deep learning through sparse and low-rank modeling / edited by Zhangyang Wang, Yun Fu, Thomas S. Huang.
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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Full Text (via O'Reilly/Safari) |
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| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
[Place of publication not identified] :
Academic Press, an imprint of Elsevier,
[2019]
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| Series: | Computer vision and pattern recognition series.
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| Subjects: |
Internet
Full Text (via O'Reilly/Safari)Online
| Call Number: |
Q325.5
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| Q325.5 | Available |