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...
| Główni autorzy: | , , |
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| Format: | Artykuł |
| Język: | English |
| Wydane: |
IEEE
2019-01-01
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| Seria: | IEEE Access |
| Hasła przedmiotowe: | |
| Dostęp online: | https://ieeexplore.ieee.org/document/8674557/ |