0392898 20240111140831.420130613235959.9 5 s. C cav_un_epca*0392897978-1-4799-0355-93228-3232VancouverIEEE2013 tensor factorization parafac Kronecker product cav_un_auth*0274170 Phan A. H. JP cav_un_auth*0274171 Cichocki A. JP cav_un_auth*0101212 Tichavský Petr Stochastická informatika Department of Stochastic Informatics SI SI UTIA-B Department of Stochastic Informatics Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0291811 Zdunek R. PL cav_un_auth*0291812 Lehky S. US http://library.utia.cas.cz/separaty/2013/SI/tichavsky-from basis components to complex structural patterns.pdf 309kB GA102/09/1278 GA ČR cav_un_auth*0253174 A novel approach is proposed to extract high-rank patterns from multiway data. The method is useful when signals comprise collinear components or complex structural patterns. Alternating least squares and multiplication algorithms are developed for the new model with/without non negativity constraints. Experimental results on synthetic data and real-world dataset confirm the validity of the proposed model and algorithms. cav_un_auth*0291703 IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2013 Vancouver 27.05.2013-31.05.2013 CA 2014 BB 5 PO RVO:67985556 http://hdl.handle.net/11104/0221807 2013 309kB cav_un_epca*0392897 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2013 978-1-4799-0355-9 3228 3232 Vancouver IEEE 2013 CFP13ICA-USB