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 Independent Component Analysis
10.2 Mutual information and nongaussianity 223 10.3 Mutual information and likelihood 224 10.4 Algorithms for minimization of mutual information 224 10.5 Examples 225 10.6 Concluding remarks and references 225 Problems 227 11 ICA by Tensorial Methods 229 11.1 Definition of cumulant tensor 229 11.2 Tensor eigenvalues give independent components 230...
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....
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