0392900 20240111140831.420130613235959.9 5 s. C cav_un_epca*0392897978-1-4799-0355-93233-3237VancouverIEEE2013 tensor factorization Kronecker product image completion 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*0291813 Luta G. US cav_un_auth*0291814 Brockmeier A. US http://library.utia.cas.cz/separaty/2013/SI/tichavsky-tensor completion through multiple kronecker product decomposition.pdf 1753kB GA102/09/1278 GA ČR cav_un_auth*0253174 We propose a novel decomposition approach to impute missing values in tensor data. The method uses smaller scale multiway patches to model the whole data or a small volume encompassing the observed missing entries. Simulations on color images show that our method can recover color images using only 5-10% of pixels, and outperforms other available tensor completion methods. 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/11104/0221809 2013 1753kB cav_un_epca*0392897 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2013 978-1-4799-0355-9 3233 3237 Vancouver IEEE 2013 CFP13ICA-USB