Muutke küpsiste eelistusi

E-raamat: Latent Variable Analysis and Signal Separation: 10th International Conference, LVA/ICA 2012, Tel Aviv, Israel, March 12-15, 2012, Proceedings

Edited by , Edited by , Edited by , Edited by
  • Formaat: PDF+DRM
  • Sari: Lecture Notes in Computer Science 7191
  • Ilmumisaeg: 09-Feb-2012
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Keel: eng
  • ISBN-13: 9783642285516
  • Formaat - PDF+DRM
  • Hind: 55,56 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.
  • Formaat: PDF+DRM
  • Sari: Lecture Notes in Computer Science 7191
  • Ilmumisaeg: 09-Feb-2012
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Keel: eng
  • ISBN-13: 9783642285516

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

This book constitutes the proceedings of the 10th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2012, held in Tel Aviv, Israel, in March 2012. The 20 revised full papers presented together with 42 revised poster papers, 1 keynote lecture, and 2 overview papers for the regular, as well as for the special session were carefully reviewed and selected from numerous submissions. Topics addressed are ranging from theoretical issues such as causality analysis and measures, through novel methods for employing the well-established concepts of sparsity and non-negativity for matrix and tensor factorization, down to a variety of related applications ranging from audio and biomedical signals to precipitation analysis.
General LVA/ICA Theory, Methods and Extensions
Block Component Analysis, a New Concept for Blind Source Separation
1(8)
Lieven De Lathauwer
Partially Linear Estimation with Application to Image Deblurring Using Blurred/Noisy Image Pairs
9(8)
Tomer Michaeli
Daniel Sigalov
Yonina C. Eldar
Causal Discovery for Linear Non-Gaussian Acyclic Models in the Presence of Latent Gaussian Confounders
17(8)
Zhitang Chen
Laiwan Chan
Alleviating the Influence of Weak Data Asymmetries on Granger-Causal Analyses
25(9)
Stefan Haufe
Vadim V. Nikulin
Guido Nolte
Online PLCA for Real-Time Semi-supervised Source Separation
34(8)
Zhiyao Duan
Gautham J. Mysore
Paris Smaragdis
Cramer-Rao Bound for Circular Complex Independent Component Analysis
42(8)
Benedikt Loesch
Bin Yang
Complex Non-Orthogonal Joint Diagonalization Based on LU and LQ Decompositions
50(8)
Ke Wang
Xiao-Feng Gong
Qiu-Hua Lin
Exact and Approximate Quantum Independent Component Analysis for Qubit Uncoupling
58(8)
Yannick Deville
Alain Deville
A Matrix Joint Diagonalization Approach for Complex Independent Vector Analysis
66(8)
Hao Shen
Martin Kleinsteuber
Algebraic Solutions to Complex Blind Source Separation
74(8)
Hao Shen
Martin Kleinsteuber
On the Separation Performance of the Strong Uncorrelating Transformation When Applied to Generalized Covariance and Pseudo-covariance Matrices
82(9)
Arie Yeredor
A Canonical Correlation Analysis Based Method for Improving BSS of Two Related Data Sets
91(8)
Juha Karhunen
Tele Hao
Jarkko Ylipaavalniemi
A Probability-Based Combination Method for Unsupervised Clustering with Application to Blind Source Separation
99(8)
Julian Mathias Becker
Martin Spiertz
Volker Gnann
Charrelation Matrix Based ICA
107(8)
Alon Slapak
Arie Yeredor
Contrast Functions for Independent Subspace Analysis
115(8)
Jason A. Palmer
Scott Makeig
Distributional Convergence of Subspace Estimates in FastICA: A Bootstrap Study
123(8)
Jarkko Ylipaavalniemi
Nima Reyhani
Ricardo Vigario
New Online EM Algorithms for General Hidden Markov Models. Application to the SLAM Problem
131(8)
Sylvain Le Corff
Gersende Fort
Eric Moulines
The Role of Whitening for Separation of Synchronous Sources
139(8)
Miguel Almeida
Ricardo Vigario
Jose Bioucas-Dias
Simultaneous Diagonalization of Skew-Symmetric Matrices in the Symplectic Group
147(8)
Frank C. Meinecke
Joint Block Diagonalization Algorithms for Optimal Separation of Multidimensional Components
155(8)
Dana Lahat
Jean-Francois Cardoso
Hagit Messer
On Computation of Approximate Joint Block-Diagonalization Using Ordinary AJD
163(9)
Petr Tichavsky
Arie Yeredor
Zbynek Koldovsky
Joint Diagonalization of Several Scatter Matrices for ICA
172(8)
Klaus Nordhausen
Harold W. Gutch
Hannu Oja
Fabian J. Theis
To Infinity and Beyond: On ICA over Hilbert Spaces
180(8)
Harold W. Gutch
Fabian J. Theis
Sparsity, Sparse Coding and Dictionary Learning
Regularized Sparse Representation for Spectrometric Pulse Separation and Counting Rate Estimation
188(8)
Tom Trigano
Yann Sepulcre
Some Uniqueness Results in Sparse Convolutive Source Separation
196(8)
Alexis Benichoux
Prasad Sudhakar
Frederic Bimbot
Remi Gribonval
Ternary Sparse Coding
204(9)
Georgios Exarchakis
Marc Henniges
Julian Eggert
Jorg Lucke
Closed-Form EM for Sparse Coding and Its Application to Source Separation
213(9)
Jorg Lucke
Abdul-Saboor Sheikh
Convolutive Underdetermined Source Separation through Weighted Interleaved ICA and Spatio-temporal Source Correlation
222(9)
Francesco Nesta
Maurizio Omologo
Dictionary Learning with Large Step Gradient Descent for Sparse Representations
231(8)
Boris Mailhe
Mark D. Plumbley
Separation of Sparse Signals in Overdetermined Linear-Quadratic Mixtures
239(8)
Leonardo T. Duarte
Rafael A. Ando
Romis Attux
Yannick Deville
Christian Jutten
Collaborative Filtering via Group-Structured Dictionary Learning
247(8)
Zoltan Szabo
Barnabas Poczos
Andras Lorincz
Group Polytope Faces Pursuit for Recovery of Block-Sparse Signals
255(8)
Aris Gretsistas
Mark D. Plumbley
Non-negative and Other Factorizations
Nonnegative Matrix Factorization via Generalized Product Rule and Its Application for Classification
263(9)
Yu Fujimoto
Noboru Murata
An Algebraic Method for Approximate Rank One Factorization of Rank Deficient Matrices
272(8)
Franz J. Kiraly
Andreas Ziehe
Klaus-Robert Muller
Bayesian Non-negative Matrix Factorization with Learned Temporal Smoothness Priors
280(8)
Mathieu Coic
Juan Jose Burred
On Connection between the Convolutive and Ordinary Nonnegative Matrix Factorizations
288(9)
Anh Huy Phan
Andrzej Cichocki
Petr Tichavsky
Zbynek Koldovsky
On Revealing Replicating Structures in Multiway Data: A Novel Tensor Decomposition Approach
297(9)
Anh Huy Phan
Andrzej Cichocki
Petr Tichavsky
Danilo P. Mandic
Kiyotoshi Matsuoka
Audio Separation and Analysis
An On-Line NMF Model for Temporal Pattern Learning: Theory with Application to Automatic Speech Recognition
306(8)
Hugo Van Hamme
Low-Latency Instrument Separation in Polyphonic Audio Using Timbre Models
314(8)
Ricard Marxer
Jordi Janer
Jordi Bonada
Real-Time Speech Separation by Semi-supervised Nonnegative Matrix Factorization
322(8)
Cyril Joder
Felix Weninger
Florian Eyben
David Virette
Bjorn Schuller
An Audio-Video Based IVA Algorithm for Source Separation and Evaluation on the AV16.3 Corpus
330(8)
Yanfeng Liang
Jonathon Chambers
Non-negative Matrix Factorization Based Noise Reduction for Noise Robust Automatic Speech Recognition
338(9)
Seon Man Kim
Ji Hun Park
Hong Kook Kim
Sung Joo Lee
Yun Keun Lee
Audio Imputation Using the Non-negative Hidden Markov Model
347(9)
Jinyu Han
Gautham J. Mysore
Bryan Pardo
A Non-negative Approach to Language Informed Speech Separation
356(8)
Gautham J. Mysore
Paris Smaragdis
Temporally-Constrained Convolutive Probabilistic Latent Component Analysis for Multi-pitch Detection
364(8)
Emmanouil Benetos
Simon Dixon
A Latently Constrained Mixture Model for Audio Source Separation and Localization
372(8)
Antoine Deleforge
Radu Horaud
Multiple Instrument Mixtures Source Separation Evaluation Using Instrument-Dependent NMF Models
380(8)
Francisco J. Rodriguez-Serrano
Julio J. Carabias-Orti
Pedro Vera-Candeas
Tuomas Virtanen
Nicolas Ruiz-Reyes
Complex Extension of Infinite Sparse Factor Analysis for Blind Speech Separation
388(9)
Kohei Nagira
Toru Takahashi
Tetsuya Ogata
Hiroshi G. Okuno
A General Framework for Online Audio Source Separation
397(8)
Laurent S.R. Simon
Emmanuel Vincent
Sound Recognition in Mixtures
405(9)
Juhan Nam
Gautham J. Mysore
Paris Smaragdis
SiSEC 2011 Evaluation Campaign
The 2011 Signal Separation Evaluation Campaign (SiSEC2011): Audio Source Separation
414(9)
Shoko Araki
Francesco Nesta
Emmanuel Vincent
Zbynek Koldovsky
Guido Nolte
Andreas Ziehe
Alexis Benichoux
The 2011 Signal Separation Evaluation Campaign (SiSEC2011): Biomedical Data Analysis
423(7)
Guido Nolte
Dominik Lutter
Andreas Ziehe
Francesco Nesta
Emmanuel Vincent
Zbynek Koldovsky
Alexis Benichoux
Shoko Araki
Improved Perceptual Metrics for the Evaluation of Audio Source Separation
430(8)
Emmanuel Vincent
Musical Audio Source Separation Based on User-Selected F0 Track
438(8)
Jean-Louis Durrieu
Jean-Philippe Thiran
A GMM Sound Source Model for Blind Speech Separation in Under-determined Conditions
446(8)
Yasuharu Hirasawa
Naoki Yasuraoka
Toru Takahashi
Tetsuya Ogata
Hiroshi G. Okuno
Model-Driven Speech Enhancement for Multisource Reverberant Environment (Signal Separation Evaluation Campaign (SiSEC) 2011)
454(8)
Pejman Mowlaee
Rahim Saeidi
Rainer Martin
Semi-blind Source Separation Based on ICA and Overlapped Speech Detection
462(8)
Jiri Malek
Zbynek Koldovsky
Petr Tichavsky
Nonparametric Modelling of ECG: Applications to Denoising and to Single Sensor Fetal ECG Extraction
470(8)
Bertrand Rivet
Mohammad Niknazar
Christian Jutten
Other Applications
Nesterov's Iterations for NMF-Based Supervised Classification of Texture Patterns
478(8)
Rafal Zdunek
Zhaoshui He
Detection of Aliasing in Image Sequences Using Nonlinear Factor Analysis
486(8)
Scott C. Douglas
Geometrical Method Using Simplicial Cones for Overdetermined Nonnegative Blind Source Separation: Application to Real PET Images
494(8)
Wendyam Serge Boris Ouedraogo
Antoine Souloumiac
Meriem Jaidane
Christian Jutten
Multi-domain Feature of Event-Related Potential Extracted by Nonnegative Tensor Factorization: 5 vs. 14 Electrodes EEG Data
502(9)
Fengyu Cong
Anh Huy Phan
Piia Astikainen
Qibin Zhao
Jari K. Hietanen
Tapani Ristaniemi
Andrzej Cichocki
The Use of Linear Feature Projection for Precipitation Classification Using Measurements from Commercial Microwave Links
511(9)
Dani Cherkassky
Jonatan Ostrometzky
Hagit Messer
Bayesian Inference of Latent Causes in Gene Regulatory Dynamics
520(8)
Sabine Hug
Fabian J. Theis
Bayesian Fuzzy Clustering of Colored Graphs
528(9)
Fabian J. Theis
Author Index 537