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Fast tensorial JADE

Julkaisun tekijätVirta Joni, Lietzén Niko, Ilmonen Pauliina, Nordhausen Klaus

KustantajaWiley-Blackwell Publishing Ltd.


JournalScandinavian Journal of Statistics

Sivujen määrä24





Rinnakkaistallenteen osoite


In this work, we propose a novel method for tensorial independent component analysis. Our approach is based on TJADE and k-JADE, two recently proposed generalizations of the classical JADE algorithm. Our novel method achieves the consistency and the limiting distribution of TJADE under mild assumptions, and at the same time offers notable improvement in computational speed. Detailed mathematical proofs of the statistical properties of our method are given and, as a special case, a conjecture on the properties of k-JADE is resolved. Simulations and timing comparisons demonstrate remarkable gain in speed. Moreover, the desired efficiency is obtained approximately for finite samples. The method is applied successfully to large-scale video data, for which neither TJADE nor k-JADE is feasible. Finally, an experimental procedure is proposed to select the values of a set of tuning parameters.

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Last updated on 2022-07-04 at 17:45