Multilinear Kernel Regression and Imputation via Manifold Learning
This paper introduces a novel kernel regression framework for data imputation, coined multilinear kernel regression and imputation via the manifold assumption (MultiL-KRIM). Motivated by manifold learning, MultiL-KRIM models data features as a point-cloud located in or close to a user-unknown smooth...
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| 主要な著者: | , |
|---|---|
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
IEEE
2024-01-01
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| シリーズ: | IEEE Open Journal of Signal Processing |
| 主題: | |
| オンライン･アクセス: | https://ieeexplore.ieee.org/document/10637724/ |
| タグ: |
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