Structural Data Recognition With Graph Model Boosting
This paper presents a novel method for structural data recognition using a large number of graph models. In general, prevalent methods for structural data recognition have two shortcomings: 1) only a single model is used to capture structural variation and 2) naive classifiers are used, such as the...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8501919/ |