0376326 20240111140815.720120911235959.9 10.1007/978-3-642-28551-6_36 9 s. P cav_un_epca*0376325978-3-642-28550-9288-296HeidelbergSpringer2012TheisFabian matrix factorization music analysis spectrogram cav_un_auth*0274170 Phan A. H. JP cav_un_auth*0272321 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*0108100 Koldovský Zbyněk Stochastická informatika Department of Stochastic Informatics SI SI UTIA-B Department of Stochastic Informatics Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2012/SI/tichavsky-on connection between the convolutive and ordinary nonnegative matrix factorizations.pdf 904kB GA102/09/1278 GA ČR cav_un_auth*0253174 A connection between the convolutive nonnegative matrix factorization (NMF) and the conventional NMF has been established. As a result, we can convey arbitrary alternating update rules for NMF to update rules for CNMF. In order to illustrate the novel derivation method, a multiplicative algorithm and a new ALS algorithm for CNMF are derived. The experiments confirm validity and high performance of our method and of the proposed algorithm. cav_un_auth*0280771 Latent Variable Analysis and Signal Separation,10th International Conference, LVA/ICA 2012 Tel Aviv 12.03.2012-15.03.2012 IL 2013 BB 4 PR RVO:67985556 http://hdl.handle.net/11104/0208756 2012 904kB cav_un_epca*0376325 Latent Variable Analysis and Signal Separation 978-3-642-28550-9 288 296 Heidelberg Springer 2012 Lecture Notes on Computer Science 7191 Theis Fabian 340