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Line 44: Non-negative MPCA (NMPCA)<ref>Y. Panagakis, C. Kotropoulos, G. R. Arce, "Non-negative multilinear principal component analysis of auditory temporal modulations for music genre classification", IEEE Trans. on Audio, Speech, and Language Processing, vol. 18, no. 3, pp. 576–588, 2010.</ref> Robust MPCA (RMPCA)<ref>K. Inoue, K. Hara, K. Urahama, "Robust multilinear principal component analysis", Proc. IEEE Conference on Computer Vision, 2009, pp. 591–597.</ref> *Multi-Tensor Factorization, that also finds the number of components automatically (MTF)<ref>{{Cite journal\|last=Khan\|first=Suleiman A.\|last2=Leppäaho\|first2=Eemeli\|last3=Kaski\|first3=Samuel\|date=2016-06-10\|title=Bayesian multi-tensor factorization~~\|url=https://link.springer.com/article/10.1007/s10994-016-5563-y~~\|journal=Machine Learning\|language=en\|volume=105\|issue=2\|pages=233–253\|doi=10.1007/s10994-016-5563-y\|issn=0885-6125\|arxiv=1412.4679}}</ref> ==References==

Multilinear principal component analysis: Difference between revisions