Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification
Constructing a powerful graph that can effectively depict the intrinsic connection of data points is the critical step to make the graph-based semisupervised learning algorithms achieve promising performance. Among popular graph construction algorithms, low-rank representation (LRR) is a very compet...
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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Wiley
2018-01-01
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| Schriftenreihe: | Complexity |
| Online-Zugang: | http://dx.doi.org/10.1155/2018/2857594 |
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