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GAMIN: Generative Adversarial Multiple Imputation Network for Highly Missing DataGAMIN: Generative Adversarial Multiple Imputation Network for Highly Missing Data
- Alternative Title
- GAMIN: Generative Adversarial Multiple Imputation Network for Highly Missing Data
- Authors
- Sull, Sanghoon
- Issue Date
- 16-6월-2020
- Publisher
- IEEE Computer Society
- Citation
- The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Conference Name
- The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Place
- US
- Conference Date
- 2020-06-16
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Collections - College of Engineering > School of Electrical Engineering > 2. Conference Papers
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