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MfeCNN: Mixture Feature Embedding Convolutional Neural Network for Data Mapping
Data mapping plays an important role in data integration and exchanges among institutions and organizations with different data standards. However, traditional rule-based approaches and machine learning methods fail to achieve satisfactory results for the data mapping problem. In this paper, we prop...
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| Vydáno v: | IEEE Trans Nanobioscience |
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| Hlavní autoři: | , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2018
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6118402/ https://ncbi.nlm.nih.gov/pubmed/29993581 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TNB.2018.2841053 |
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