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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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| 出版年: | IEEE Trans Nanobioscience |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2018
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| 主題: | |
| オンライン･アクセス: | 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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