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 Independent Component Analysis: Algorithms and Applications
The statistical model in Eq. 4 is called independent component analysis, or ICA model. The ICA model is a generative model, which means that it describes how the observed data are generated by a process of mixing the components si. The independent components are latent variables, meaning that they cannot be directly observed.
Learning Modewise Independent Components from Tensor Data ...
Independent component analysis (ICA) is a popular unsupervised learning method. This paper extends it to multilinear modewise ICA (MMICA) for tensors and explores two architectures in learning and recognition. MMICA models tensor data as mixtures generated from modewise source matrices that encode statistically independent information....
Allassonnière , Younes : A stochastic algorithm for ...
Independent component analysis in statistical shape models. SPIE Medical Image Analysis 375–383. Valpola Lappalainen, H. and Pajunen, P. (2000). Fast algorithms for Bayesian independent component analysis. In Proc. of the Second International Workshop on Independent Component Analysis and Blind Signal Separation, ICA 2000, Helsinki, Finland ......
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