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Directionally Paired Principal Component Analysis for Bivariate Estimation Problems
We propose Directionally Paired Principal Component Analysis (DP-PCA), a novel linear dimension-reduction model for estimating coupled yet partially observable variable sets. Unlike partial least squares methods (e.g., partial least squares regression and canonical correlation analysis) that maximiz...
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| 發表在: | Proc IAPR Int Conf Pattern Recogn |
|---|---|
| Main Authors: | , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
2021
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8323711/ https://ncbi.nlm.nih.gov/pubmed/34337618 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/icpr48806.2021.9412245 |
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