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Nonlinear Canonical Correlation Analysis:A Compressed Representation Approach
Canonical Correlation Analysis (CCA) is a linear representation learning method that seeks maximally correlated variables in multi-view data. Nonlinear CCA extends this notion to a broader family of transformations, which are more powerful in many real-world applications. Given the joint probability...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516638/ https://www.ncbi.nlm.nih.gov/pubmed/33285982 http://dx.doi.org/10.3390/e22020208 |