A Manifold Laplacian Regularized Semi-Supervised Sparse Image Classification Method With a Variant Trace Lasso Norm
Since the cost of labeling data is getting higher and higher, we hope to make full use of the large amount of unlabeled data and improve image classification effect through adding some unlabeled samples for training. In addition, we expect to uniformly realize two tasks, namely the clustering of the...
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| Principais autores: | , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
IEEE
2020-01-01
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| Serija: | IEEE Access |
| Teme: | |
| Online dostop: | https://ieeexplore.ieee.org/document/9099540/ |
| Oznake: |
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