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000733666 020__ $$a9783319224824$$qelectronic book
000733666 020__ $$a3319224824$$qelectronic book
000733666 020__ $$z9783319224817
000733666 0247_ $$a10.1007/978-3-319-22482-4$$2doi
000733666 035__ $$aSP(OCoLC)ocn918983425
000733666 035__ $$aSP(OCoLC)918983425
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000733666 08204 $$a621.382/2$$223
000733666 1112_ $$aInternational Conference on Latent Variable Analysis and Signal Separation$$n(12th :$$d2015 :$$cLiberec, Czech Republic)
000733666 24510 $$aLatent variable analysis and signal separation$$h[electronic resource] :$$b12th International Conference, LVA/ICA 2015, Liberec, Czech Republic, August 25-28, 2015, Proceedings /$$cEmmanuel Vincent, Arie Yeredor, Zbyněk Koldovský, Petr Tichavský (eds.).
000733666 2463_ $$aLVA/ICA 2015
000733666 264_1 $$aCham :$$bSpringer,$$c2015.
000733666 300__ $$a1 online resource (xvi, 532 pages) :$$billustrations.
000733666 336__ $$atext$$btxt$$2rdacontent
000733666 337__ $$acomputer$$bc$$2rdamedia
000733666 338__ $$aonline resource$$bcr$$2rdacarrier
000733666 4901_ $$aLecture notes in computer science,$$x0302-9743 ;$$v9237
000733666 4901_ $$aLNCS sublibrary. SL 1, Theoretical computer science and general issues
000733666 500__ $$aInternational conference proceedings.
000733666 500__ $$aIncludes author index.
000733666 5050_ $$aTensor-based methods for blind signal separation -- Deep neural networks for supervised speech separation/enhancment -- Joined analysis of multiple datasets, data fusion, and related topics -- Advances in nonlinear blind source separation -- Sparse and low rank modeling for acoustic signal processing.
000733666 506__ $$aAccess limited to authorized users.
000733666 520__ $$aThis book constitutes the proceedings of the 12th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICS 2015, held in Liberec, Czech Republic, in August 2015. The 61 revised full papers presented ℓ́ℓ 29 accepted as oral presentations and 32 accepted as poster presentations ℓ́ℓ were carefully reviewed and selected from numerous submissions. Five special topics are addressed: tensor-based methods for blind signal separation; deep neural networks for supervised speech separation/enhancement; joined analysis of multiple datasets, data fusion, and related topics; advances in nonlinear blind source separation; sparse and low rank modeling for acoustic signal processing.
000733666 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 20, 2015).
000733666 650_0 $$aSource separation (Signal processing)$$vCongresses.
000733666 7001_ $$aVincent, Emmanuel,$$eeditor.
000733666 7001_ $$aYeredor, Arie,$$eeditor.
000733666 7001_ $$aKoldovský, Zbyněk,$$eeditor.
000733666 7001_ $$aTichavský, Petr,$$eeditor.
000733666 830_0 $$aLecture notes in computer science ;$$v9237.
000733666 830_0 $$aLNCS sublibrary.$$nSL 1,$$pTheoretical computer science and general issues.
000733666 852__ $$bebk
000733666 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-22482-4$$zOnline Access$$91397441.1
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000733666 983__ $$aOnline
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