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Independent component analysis: recent advances
Independent component analysis is a probabilistic method for learning a linear transform of a random vector. The goal is to find components that are maximally independent and non-Gaussian (non-normal). Its fundamental difference to classical multi-variate statistical methods is in the assumption of...
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The Royal Society Publishing
2013
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3538438/ https://ncbi.nlm.nih.gov/pubmed/23277597 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rsta.2011.0534 |
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