Manifold Modeling in Embedded Space: An Interpretable Alternative to Deep Image Prior
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- Tatsuya Yokota
- Nagoya Institute of Technology, Nagoya, Japan
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- Hidekata Hontani
- Nagoya Institute of Technology, Nagoya, Japan
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- Qibin Zhao
- RIKEN Center for Advanced Intelligence Project, Tokyo, Japan
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- Andrzej Cichocki
- RIKEN Center for Advanced Intelligence Project, Tokyo, Japan
収録刊行物
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- IEEE Transactions on Neural Networks and Learning Systems
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IEEE Transactions on Neural Networks and Learning Systems 33 (3), 1022-1036, 2022-03
Institute of Electrical and Electronics Engineers (IEEE)
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詳細情報 詳細情報について
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- CRID
- 1360580230605349632
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- ISSN
- 21622388
- 2162237X
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- データソース種別
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- Crossref
- KAKEN