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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: | Online Artículo Texto |
| Lenguaje: | English |
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The Royal Society Publishing
2013
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3538438/ https://www.ncbi.nlm.nih.gov/pubmed/23277597 http://dx.doi.org/10.1098/rsta.2011.0534 |