LEADER 04513nam 22008655 450 001 9910483790303321 005 20251226200515.0 010 $a3-540-74494-0 024 7 $a10.1007/978-3-540-74494-8 035 $a(CKB)1000000000490665 035 $a(SSID)ssj0000318224 035 $a(PQKBManifestationID)11244237 035 $a(PQKBTitleCode)TC0000318224 035 $a(PQKBWorkID)10308550 035 $a(PQKB)11717280 035 $a(DE-He213)978-3-540-74494-8 035 $a(MiAaPQ)EBC3062121 035 $a(MiAaPQ)EBC6711209 035 $a(Au-PeEL)EBL6711209 035 $a(OCoLC)190861936 035 $a(PPN)123731585 035 $a(MiAaPQ)EBC337666 035 $a(EXLCZ)991000000000490665 100 $a20100301d2007 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aIndependent Component Analysis and Signal Separation $e7th International Conference, ICA 2007, London, UK, September 9-12, 2007, Proceedings /$fedited by Mike E. Davies, Christopher C. James, Samer A. Abdallah, Mark D. Plumbley 205 $a1st ed. 2007. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2007. 215 $a1 online resource (XIX, 847 p.) 225 1 $aInformation Systems and Applications, incl. Internet/Web, and HCI,$x2946-1642 ;$v4666 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-540-74493-2 320 $aIncludes bibliographical references and index. 327 $aTheory -- Algorithms -- Sparse Methods -- Speech and Audio Applications -- Biomedical Applications -- Miscellaneous -- Keynote Talk. 330 $aThis volume contains the papers presented at the 7th International Conference on Independent Component Analysis (ICA) and Source Separation held in L- don, 9?12 September 2007, at Queen Mary, University of London. Independent Component Analysis and Signal Separation is one of the most exciting current areas of research in statistical signal processing and unsup- vised machine learning. The area has received attention from several research communities including machine learning, neural networks, statistical signal p- cessing and Bayesian modeling. Independent Component Analysis and Signal Separation has applications at the intersection of many science and engineering disciplinesconcernedwithunderstandingandextractingusefulinformationfrom data as diverse as neuronal activity and brain images, bioinformatics, com- nications, the World Wide Web, audio, video, sensor signals, or time series. This year?s event was organized by the EPSRC-funded UK ICA Research Network (www.icarn.org). There was also a minor change to the conference title this year with the exclusion of the word?blind?. The motivation for this was the increasing number of interesting submissions using non-blind or semi-blind techniques that did not really warrant this label. Evidence of the continued interest in the ?eld was demonstrated by the healthy number of submissions received, and of the 149 papers submitted just over two thirds were accepted. 410 0$aInformation Systems and Applications, incl. Internet/Web, and HCI,$x2946-1642 ;$v4666 606 $aAlgorithms 606 $aComputer science 606 $aCoding theory 606 $aInformation theory 606 $aMathematical statistics$xData processing 606 $aData mining 606 $aSignal processing 606 $aAlgorithms 606 $aTheory of Computation 606 $aCoding and Information Theory 606 $aStatistics and Computing 606 $aData Mining and Knowledge Discovery 606 $aSignal, Speech and Image Processing 615 0$aAlgorithms. 615 0$aComputer science. 615 0$aCoding theory. 615 0$aInformation theory. 615 0$aMathematical statistics$xData processing. 615 0$aData mining. 615 0$aSignal processing. 615 14$aAlgorithms. 615 24$aTheory of Computation. 615 24$aCoding and Information Theory. 615 24$aStatistics and Computing. 615 24$aData Mining and Knowledge Discovery. 615 24$aSignal, Speech and Image Processing. 676 $a621.3822 702 $aDavies$b Mike$cDr. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483790303321 996 $aIndependent Component Analysis and Signal Separation$9774136 997 $aUNINA