Graph Learning Via Edge Constrained Sparse Representation for Image Analysis
The construction of a graph essentially determines the performance of the graph-based image analysis methods. Particularly, the sparse graph is vital in image analysis because of its sparse and adaptive properties for the enormous scale of data. However, most existing graph-based algorithms ignore s...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8674557/ |