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Independent Subspace Analysis Is Unique, Given Irreducibility

Gutch, Harold W. ; Theis, Fabian J. Davies, Mike E. ; James, Christopher J. , eds.



Abstract

Independent Subspace Analysis (ISA) is a generalization of ICA. It tries to find a basis in which a given random vector can be decomposed into groups of mutually independent random vectors. Since the first introduction of ISA, various algorithms to solve this problem have been introduced, however a general proof of the uniqueness of ISA decompositions remained an open question. In this ...

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