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Sparseness by Iterative Projections Onto Spheres

Theis, Fabian J. ; Tanaka, T.



Abstract

Many interesting signals share the property of being sparsely active. The search for such sparse components within a data set commonly involves a linear or nonlinear projection step in order to fulfil the sparseness constraints. In addition to the proximity measure used for the projection, the result of course is also intimately connected with the actual definition of the sparseness criterion. In ...

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