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...
| 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.
|
| Subjects: |