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An Active Learning Method Based on Variational Autoencoder and DBSCAN Clustering
Active learning is aimed to sample the most informative data from the unlabeled pool, and diverse clustering methods have been applied to it. However, the distance-based clustering methods usually cannot perform well in high dimensions and even begin to fail. In this paper, we propose a new active l...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8352707/ https://www.ncbi.nlm.nih.gov/pubmed/34381500 http://dx.doi.org/10.1155/2021/9952596 |