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Hierarchical Extraction of Independent Subspaces of Unknown Dimensions

Gruber, Peter ; Gutch, Harold W. ; Theis, Fabian J. Adali, T. , eds.



Abstract

Independent Subspace Analysis (ISA) is an extension of Independent Component Analysis (ICA) that aims to linearly transform a random vector such as to render groups of its components mutually independent. A recently proposed fixed-point algorithm is able to locally perform ISA if the sizes of the subspaces are known, however global convergence is a serious problem as the proposed cost function ...

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