Multi Similarity Metric Fusion in Graph-Based Semi-Supervised Learning
In semi-supervised label propagation (LP), the data manifold is approximated by a graph, which is considered as a similarity metric. Graph estimation is a crucial task, as it affects the further processes applied on the graph (e.g., LP, classification). As our knowledge of data is limited, a single...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-03-01
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| Series: | Computation |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2079-3197/7/1/15 |