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Tensor Networks for Latent Variable Analysis: Novel Algorithms for Tensor Train Approximation.
IEEE Trans Neural Netw Learn Syst. 2020 Nov;31(11):4622-4636. doi: 10.1109/TNNLS.2019.2956926. Epub 2020 Oct 30.
IEEE Trans Neural Netw Learn Syst. 2020.
PMID: 32031950
A hybrid technique for blind separation of non-gaussian and time-correlated sources using a multicomponent approach.
Tichavský P, Koldovský Z, Yeredor A, Gómez-Herrero G, Doron E.
Tichavský P, et al.
IEEE Trans Neural Netw. 2008 Mar;19(3):421-30. doi: 10.1109/TNN.2007.908648.
IEEE Trans Neural Netw. 2008.
PMID: 18334362
Free article.
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Efficient variant of algorithm FastICA for independent component analysis attaining the Cramér-Rao lower bound.
Koldovský Z, Tichavský P, Oja E.
Koldovský Z, et al. Among authors: tichavsky p.
IEEE Trans Neural Netw. 2006 Sep;17(5):1265-77. doi: 10.1109/TNN.2006.875991.
IEEE Trans Neural Netw. 2006.
PMID: 17001986
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Robust removal of short-duration artifacts in long neonatal EEG recordings using wavelet-enhanced ICA and adaptive combining of tentative reconstructions.
Zima M, Tichavský P, Paul K, Krajča V.
Zima M, et al. Among authors: tichavsky p.
Physiol Meas. 2012 Aug;33(8):N39-49. doi: 10.1088/0967-3334/33/8/N39. Epub 2012 Jul 20.
Physiol Meas. 2012.
PMID: 22814032
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