Kernelised reference‐wise metric learning
Unlike the doublet or triplet constraints, a novel kernelised reference‐wise metric learning is proposed by constructing reference‐wise constraints, which contain similarity information of each sample to all reference samples. After selecting several representative training samples as the reference...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-03-01
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| Series: | Electronics Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/el.2016.4079 |
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