0448266 20240103210756.820151022235959.9 84959352095 000362746500005 10.1109/TSP.2015.2458789 12 s. P cav_un_epca*02567271053-587X6322 (2015)5939-5950 Canonical polyadic decomposition tensor deflation performance analysis cav_un_auth*0274170 Phan A. H. JP cav_un_auth*0101212 Stochastická informatika Department of Stochastic Informatics SI SI Department of Stochastic Informatics Tichavský Petr UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0274171 Cichocki A. JP http://library.utia.cas.cz/separaty/2015/SI/tichavsky-0448266.pdf cav_un_auth*0303443 GA14-13713S GA ČR CZ In Part I of the study of the tensor deflation for CANDECOMP/PARAFAC, we have shown that the rank-1 tensor de- flation is applicable under some conditions. Part II of the study presents several initialization algorithms suitable for the algorithm proposed in Part I. In addition, Part II contains an algorithm for the case when one or more factor matrices in the estimated model is constrained to be orthogonal. Finally, Part II provides an error analysis of the tensor deflation algorithm, which shows that there is a marginal loss of accuracy of the deflation algorithm compared to the ordinary CP decomposition. BB 2016 3 RVO:67985556 http://hdl.handle.net/11104/0250565 S ENGINEERING.ELECTRICAL&ELECTRONIC 3.157 0.462 7.8 0.0625 1.527 22917 1.581 Q1 2.134 496 Q1 89.565 87 Q1 Q1* 86.965 2015 84959352095 SCOPUS 000362746500005 WOS cav_un_epca*0256727 IEEE Transactions on Signal Processing 1053-587X 1941-0476 Roč. 63 č. 22 2015 5939 5950