Burg Matrix Divergence-Based Hierarchical Distance Metric Learning for Binary Classification
Distance metric learning is the foundation of many learning algorithms, and it has been widely used in many real-world applications. The basic idea of most distance metric learning methods is to find a space that can optimally separate data points that belong to different categories. However, curren...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2017-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/7858659/ |