000			04316nam a22006015i 4500
001			u375193
003			SIRSI
005			20160812084312.0
007			cr nn 008mamaa
008			100919s2010 gw | s |||| 0|eng d
020			_a9783642159954 _9978-3-642-15995-4
040			_cMX-MeUAM
050		4	_aQ337.5
050		4	_aTK7882.P3
082	0	4	_a006.4 _223
100	1		_aVigneron, Vincent. _eeditor.
245	1	0	_aLatent Variable Analysis and Signal Separation _h[recurso electrónico] : _b9th International Conference, LVA/ICA 2010, St. Malo, France, September 27-30, 2010. Proceedings / _cedited by Vincent Vigneron, Vicente Zarzoso, Eric Moreau, Rémi Gribonval, Emmanuel Vincent.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2010.
300			_aXVIII, 655p. 182 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aLecture Notes in Computer Science, _x0302-9743 ; _v6365
505	0		_aSpeech and Audio Applications -- Convolutive Signal Separation -- The 2010 Signal Separation Evaluation Campaign (SiSEC2010) -- Audio -- Theory -- Telecom -- Tensor Factorizations -- Sparsity I -- Sparsity; Biomedical Applications -- Non-negativity; Image Processing Applications -- Tensors; Joint Diagonalization -- Sparsity II -- Biomedical Applications -- Emerging Topics.
520			_aThisvolumecollectsthepaperspresentedatthe9thInternationalConferenceon Latent Variable Analysis and Signal Separation,LVA/ICA 2010. The conference was organized by INRIA, the French National Institute for Computer Science and Control,and was held in Saint-Malo, France, September 27–30,2010,at the Palais du Grand Large. Tenyearsafterthe?rstworkshoponIndependent Component Analysis(ICA) in Aussois, France, the series of ICA conferences has shown the liveliness of the community of theoreticians and practitioners working in this ?eld. While ICA and blind signal separation have become mainstream topics, new approaches have emerged to solve problems involving signal mixtures or various other types of latent variables: semi-blind models, matrix factorization using sparse com- nent analysis, non-negative matrix factorization, probabilistic latent semantic indexing, tensor decompositions, independent vector analysis, independent s- space analysis, and so on. To re?ect this evolution towards more general latent variable analysis problems in signal processing, the ICA International Steering Committee decided to rename the 9th instance of the conference LVA/ICA. From more than a hundred submitted papers, 25 were accepted as oral p- sentationsand53 asposter presentations. Thecontent ofthis volumefollowsthe conference schedule, resulting in 14 chapters. The papers collected in this v- ume demonstrate that the research activity in the ?eld continues to range from abstract concepts to the most concrete and applicable questions and consid- ations. Speech and audio, as well as biomedical applications, continue to carry the mass of the applications considered.
650		0	_aComputer science.
650		0	_aSoftware engineering.
650		0	_aComputer software.
650		0	_aComputational complexity.
650		0	_aComputer simulation.
650		0	_aComputer vision.
650		0	_aOptical pattern recognition.
650	1	4	_aComputer Science.
650	2	4	_aPattern Recognition.
650	2	4	_aImage Processing and Computer Vision.
650	2	4	_aSimulation and Modeling.
650	2	4	_aAlgorithm Analysis and Problem Complexity.
650	2	4	_aDiscrete Mathematics in Computer Science.
650	2	4	_aSpecial Purpose and Application-Based Systems.
700	1		_aZarzoso, Vicente. _eeditor.
700	1		_aMoreau, Eric. _eeditor.
700	1		_aGribonval, Rémi. _eeditor.
700	1		_aVincent, Emmanuel. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642159947
830		0	_aLecture Notes in Computer Science, _x0302-9743 ; _v6365
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-15995-4
596			_a19
942			_cLIBRO_ELEC
999			_c203073 _d203073