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<bibitem type="C">   <ARLID>0427989</ARLID> <utime>20240103204218.8</utime><mtime>20140529235959.9</mtime>         <title language="eng" primary="1">A Homotopy Recursive-in-Model-Order Algorithm for Weighted LASSO</title>  <specification> <page_count>5 s.</page_count> <media_type>C</media_type> </specification>   <serial><ARLID>cav_un_epca*0427988</ARLID><ISBN>978-1-4799-2892-7</ISBN><title>2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)</title><part_num/><part_title/><page_num>4179-4183</page_num><publisher><place>Piscataway</place><name>IEEE</name><year>2014</year></publisher></serial>    <keyword>Sparse Linear Regression</keyword>   <keyword>homotopy</keyword>   <keyword>Levinson-Durbin algorithm</keyword>    <author primary="1"> <ARLID>cav_un_auth*0108100</ARLID> <name1>Koldovský</name1> <name2>Zbyněk</name2> <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> <institution>UTIA-B</institution> <full_dept>Department of Stochastic Informatics</full_dept>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0101212</ARLID> <name1>Tichavský</name1> <name2>Petr</name2> <full_dept language="cz">Stochastická informatika</full_dept> <full_dept>Department of Stochastic Informatics</full_dept> <department language="cz">SI</department> <department>SI</department> <institution>UTIA-B</institution> <full_dept>Department of Stochastic Informatics</full_dept>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <url>http://library.utia.cas.cz/separaty/2014/SI/koldovsky-0427989.pdf</url> </source>        <cas_special> <project> <project_id>GA14-11898S</project_id> <agency>GA ČR</agency> <country>CZ</country> <ARLID>cav_un_auth*0303518</ARLID> </project>  <abstract language="eng" primary="1">A fast algorithm to solve weighted  L1-minimization problems  with N × N square “measuring” matrices is proposed. The  method is recursive-in-model-order and tracks a homotopy  path that goes through solutions of the optimization sub-tasks  in the order of 1 through N. It thus yields solutions for all  model orders and performs this task faster than the other compared  methods. We show applications of this method in sparse  linear system identification, in particular, the estimation of  sparse target-cancellation filters for audio source separation.</abstract>  <action target="WRD"> <ARLID>cav_un_auth*0302998</ARLID> <name>2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)</name> <place>Florencie</place> <dates>04.05.2014-09.05.2014</dates>  <country>IT</country> </action>    <reportyear>2015</reportyear>  <RIV>BI</RIV>      <num_of_auth>2</num_of_auth>  <presentation_type> PO </presentation_type> <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0233817</permalink>   <confidential>S</confidential>        <arlyear>2014</arlyear>       <unknown tag="mrcbU63"> cav_un_epca*0427988 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 978-1-4799-2892-7 4179 4183 Piscataway IEEE 2014 IEEE Catalog Number: CFP14ICA-USB </unknown> </cas_special> </bibitem>