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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...
Guardat en:
| Publicat a: | Entropy (Basel) |
|---|---|
| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7516638/ https://ncbi.nlm.nih.gov/pubmed/33285982 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e22020208 |
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