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...

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Detalles Bibliográficos
Autores principales: Painsky, Amichai, Feder, Meir, Tishby, Naftali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516638/
https://www.ncbi.nlm.nih.gov/pubmed/33285982
http://dx.doi.org/10.3390/e22020208

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