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<bibitem type="C">   <ARLID>0447021</ARLID> <utime>20240103210525.1</utime><mtime>20150910235959.9</mtime>   <SCOPUS>84963969097</SCOPUS> <WOS>000377943800200</WOS>  <DOI>10.1109/EUSIPCO.2015.7362532</DOI>           <title language="eng" primary="1">Two-sided diagonalization of order-three tensors</title>  <specification> <page_count>5 s.</page_count> <media_type>C</media_type> </specification>   <serial><ARLID>cav_un_epca*0447152</ARLID><ISBN>978-0-9928626-4-0</ISBN><ISSN>2076-1465</ISSN><title>Proceedings of the 23rd European Signal Processing Conference (EUSIPCO 2015)</title><part_num/><part_title/><page_num>998-1002</page_num><publisher><place>Piscataway</place><name>IEEE Computer Society</name><year>2015</year></publisher></serial>    <keyword>Multilinear models</keyword>   <keyword>parallel factor analysis</keyword>   <keyword>joint matrix diagonalization</keyword>    <author primary="1"> <ARLID>cav_un_auth*0101212</ARLID> <full_dept language="cz">Stochastická informatika</full_dept> <full_dept language="eng">Department of Stochastic Informatics</full_dept> <department language="cz">SI</department> <department language="eng">SI</department> <full_dept>Department of Stochastic Informatics</full_dept>  <name1>Tichavský</name1> <name2>Petr</name2> <institution>UTIA-B</institution> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0274170</ARLID>  <name1>Phan</name1> <name2>A. H.</name2> <country>JP</country> </author> <author primary="0"> <ARLID>cav_un_auth*0274171</ARLID>  <name1>Cichocki</name1> <name2>A.</name2> <country>JP</country> </author>   <source> <url>http://library.utia.cas.cz/separaty/2015/SI/tichavsky-0447021.pdf</url> </source>        <cas_special> <project> <ARLID>cav_un_auth*0303443</ARLID> <project_id>GA14-13713S</project_id> <agency>GA ČR</agency> <country>CZ</country> </project>  <abstract language="eng" primary="1">This paper presents algorithms for two-sided diagonalization  of order-three tensors. It is another expression for joint nonsymmetric  approximate diagonalization of a set of square matrices,  say T_1, . . ., T_M: We seek two non-orthogonal matrices  A and B such that the products AT_mB^T  are close to  diagonal in a sense. The algorithms can be used for a block  tensor decomposition and applied e.g. for tensor deconvolution  and feature extraction using the convolutive model.</abstract>    <action target="WRD"> <ARLID>cav_un_auth*0319341</ARLID> <name>23rd European Signal Processing Conference (EUSIPCO)</name> <dates>31.08.2015-04.09.2015</dates> <place>Nice</place> <country>FR</country>  </action>  <RIV>BB</RIV>    <reportyear>2016</reportyear>      <num_of_auth>3</num_of_auth>  <presentation_type> PO </presentation_type> <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0249083</permalink>   <confidential>S</confidential>        <arlyear>2015</arlyear>       <unknown tag="mrcbU14"> 84963969097 SCOPUS </unknown> <unknown tag="mrcbU34"> 000377943800200 WOS </unknown> <unknown tag="mrcbU63"> cav_un_epca*0447152 Proceedings of the 23rd European Signal Processing Conference (EUSIPCO 2015) 978-0-9928626-4-0 2076-1465 998 1002 Piscataway IEEE Computer Society 2015 </unknown> </cas_special> </bibitem>