Classification of Few Labeled Images Based on Integrated GMM Clustering
In order to improve the classifier classification accuracy of by using convolutional neural network training, a large amount of labeled data is often required, but sometimes labeled data is not easily obtained.This paper proposes a solution based on the idea of integrated GMM clustering and label de...
| Format: | Article |
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| Language: | zho |
| Published: |
The Northwestern Polytechnical University
2019-06-01
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| Series: | Xibei Gongye Daxue Xuebao |
| Subjects: | |
| Online Access: | https://www.jnwpu.org/articles/jnwpu/full_html/2019/03/jnwpu2019373p465/jnwpu2019373p465.html |