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245 1 0 _aLatent Variable Analysis and Signal Separation
_h[electronic resource] :
_b13th International Conference, LVA/ICA 2017, Grenoble, France, February 21-23, 2017, Proceedings /
_cedited by Petr Tichavský, Massoud Babaie-Zadeh, Olivier J.J. Michel, Nadège Thirion-Moreau.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aXVI, 576 p. 174 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v10169
520 _aThis book constitutes the proceedings of the 13th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2017, held in Grenoble, France, in Feburary 2017. The 53 papers presented in this volume were carefully reviewed and selected from 60 submissions. They were organized in topical sections named: tensor approaches; from source positions to room properties: learning methods for audio scene geometry estimation; tensors and audio; audio signal processing; theoretical developments; physics and bio signal processing; latent variable analysis in observation sciences; ICA theory and applications; and sparsity-aware signal processing. .
650 0 _aPattern recognition systems.
650 0 _aComputer vision.
650 0 _aArtificial intelligence.
650 0 _aComputer simulation.
650 0 _aNumerical analysis.
650 0 _aComputer networks .
650 1 4 _aAutomated Pattern Recognition.
650 2 4 _aComputer Vision.
650 2 4 _aArtificial Intelligence.
650 2 4 _aComputer Modelling.
650 2 4 _aNumerical Analysis.
650 2 4 _aComputer Communication Networks.
700 1 _aTichavský, Petr.
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700 1 _aBabaie-Zadeh, Massoud.
_eeditor.
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700 1 _aMichel, Olivier J.J.
_eeditor.
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700 1 _aThirion-Moreau, Nadège.
_eeditor.
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710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9783319535487
830 0 _aTheoretical Computer Science and General Issues,
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_v10169
856 4 0 _uhttps://doi.org/10.1007/978-3-319-53547-0
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