LEADER 03895nam 22007575 450 001 9910349433403321 005 20230330022716.0 010 $a3-319-93764-2 024 7 $a10.1007/978-3-319-93764-9 035 $a(CKB)3810000000358680 035 $a(DE-He213)978-3-319-93764-9 035 $a(MiAaPQ)EBC6285504 035 $a(PPN)229494536 035 $a(EXLCZ)993810000000358680 100 $a20180605d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aLatent Variable Analysis and Signal Separation$b[electronic resource] $e14th International Conference, LVA/ICA 2018, Guildford, UK, July 2?5, 2018, Proceedings /$fedited by Yannick Deville, Sharon Gannot, Russell Mason, Mark D. Plumbley, Dominic Ward 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XVII, 580 p. 150 illus.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v10891 311 $a3-319-93763-4 327 $aStructured Tensor Decompositions and Applications -- Matrix and Tensor Factorizations -- ICA Methods -- Nonlinear Mixtures -- Audio Data and Methods -- Signal Separation Evaluation Campaign -- Deep Learning and Data-driven Methods -- Advances in Phase Retrieval and Applications -- Sparsity-Related Methods -- Biomedical Data and Methods. 330 $aThis book constitutes the proceedings of the 14th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2018, held in Guildford, UK, in July 2018. The 52 full papers were carefully reviewed and selected from 62 initial submissions. As research topics the papers encompass a wide range of general mixtures of latent variables models but also theories and tools drawn from a great variety of disciplines such as structured tensor decompositions and applications; matrix and tensor factorizations; ICA methods; nonlinear mixtures; audio data and methods; signal separation evaluation campaign; deep learning and data-driven methods; advances in phase retrieval and applications; sparsity-related methods; and biomedical data and methods. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v10891 606 $aPattern recognition systems 606 $aComputer vision 606 $aArtificial intelligence 606 $aComputer simulation 606 $aNumerical analysis 606 $aComputer networks 606 $aAutomated Pattern Recognition 606 $aComputer Vision 606 $aArtificial Intelligence 606 $aComputer Modelling 606 $aNumerical Analysis 606 $aComputer Communication Networks 615 0$aPattern recognition systems. 615 0$aComputer vision. 615 0$aArtificial intelligence. 615 0$aComputer simulation. 615 0$aNumerical analysis. 615 0$aComputer networks. 615 14$aAutomated Pattern Recognition. 615 24$aComputer Vision. 615 24$aArtificial Intelligence. 615 24$aComputer Modelling. 615 24$aNumerical Analysis. 615 24$aComputer Communication Networks. 676 $a621.3822 702 $aDeville$b Yannick$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGannot$b Sharon$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMason$b Russell$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPlumbley$b Mark D$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWard$b Dominic$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910349433403321 996 $aLatent Variable Analysis and Signal Separation$92105759 997 $aUNINA