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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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| Vydáno v: | Proc IAPR Int Conf Pattern Recogn |
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| Hlavní autoři: | , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2021
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| Témata: | |
| On-line přístup: | 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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