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)|
[Place of publication not identified] :
Academic Press, an imprint of Elsevier,
1 online resource.
Computer vision and pattern recognition series.