Multilinear principal component analysis: Difference between revisions

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*Uncorrelated MPCA (UMPCA) <ref name="UMPCA">H. Lu, K. N. Plataniotis, and A. N. Venetsanopoulos, "[http://www.dsp.utoronto.ca/~haiping/Publication/UMPCA_TNN09.pdf Uncorrelated multilinear principal component analysis for unsupervised multilinear subspace learning]," IEEE Trans. Neural Netw., vol. 20, no. 11, pp. 1820–1836, Nov. 2009.</ref> In contrast, the uncorrelated MPCA (UMPCA) generates uncorrelated multilinear features.<ref name="UMPCA"/>

*[[Boosting (meta-algorithm)|Boosting]]+MPCA<ref>H. Lu, K. N. Plataniotis and A. N. Venetsanopoulos, "[http://www.hindawi.com/journals/ivp/2009/713183.html Boosting Discriminant Learners for Gait Recognition using MPCA Features] {{webarchive|url=https://web.archive.org/web/20101022214324/http://www.hindawi.com/journals/ivp/2009/713183.html |date=2010-10-22 }}", EURASIP Journal on Image and Video Processing, Volume 2009, Article ID 713183, 11 pages, 2009. {{doi|10.1155/2009/713183}}.</ref>

*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>