| Description |
1 online resource (xvi, 538 pages) : illustrations |
| Series |
Lecture notes in computer science, 0302-9743 ; 7191 |
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LNCS sublibrary. SL 1, Theoretical computer science and general issues |
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Lecture notes in computer science ; 7191.
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LNCS sublibrary. SL 1, Theoretical computer science and general issues.
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| Contents |
Block Component Analysis, a New Concept for Blind Source Separation -- Partially Linear Estimation with Application to Image Deblurring Using Blurred/Noisy Image Pairs -- Causal Discovery for Linear Non-Gaussian Acyclic Models in the Presence of Latent Gaussian Confounders -- Alleviating the Influence of Weak Data Asymmetries on Granger-Causal Analyses -- Online PLCA for Real-Time Semi-supervised Source Separation -- Cramér-Rao Bound for Circular Complex Independent Component Analysis -- Complex Non-Orthogonal Joint Diagonalization Based on LU and LQ Decompositions -- Exact and Approximate Quantum Independent Component Analysis for Qubit Uncoupling -- A Matrix Joint Diagonalization Approach for Complex Independent Vector Analysis -- Algebraic Solutions to Complex Blind Source Separation -- On the Separation Performance of the Strong Uncorrelating Transformation When Applied to Generalized Covariance and Pseudo-covariance Matrices -- A Canonical Correlation Analysis Based Method for Improving BSS of Two Related Data Sets -- A Probability-Based Combination Method for Unsupervised Clustering with Application to Blind Source Separation -- Charrelation Matrix Based ICA -- Contrast Functions for Independent Subspace Analysis -- Distributional Convergence of Subspace Estimates in FastICA: A Bootstrap Study -- New Online EM Algorithms for General Hidden Markov Models. Application to the SLAM Problem -- The Role of Whitening for Separation of Synchronous Sources -- Simultaneous Diagonalization of Skew-Symmetric Matrices in the Symplectic Group |
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Joint Block Diagonalization Algorithms for Optimal Separation of Multidimensional Components -- On Computation of Approximate Joint Block-Diagonalization Using Ordinary AJD -- Joint Diagonalization of Several Scatter Matrices for ICA -- To Infinity and Beyond: On ICA over Hilbert Spaces -- Regularized Sparse Representation for Spectrometric Pulse Separation and Counting Rate Estimation -- Some Uniqueness Results in Sparse Convolutive Source Separation -- Ternary Sparse Coding -- Closed-Form EM for Sparse Coding and Its Application to Source Separation -- Convolutive Underdetermined Source Separation through Weighted Interleaved ICA and Spatio-temporal Source Correlation -- Dictionary Learning with Large Step Gradient Descent for Sparse Representations -- Separation of Sparse Signals in Overdetermined Linear-Quadratic Mixtures -- Collaborative Filtering via Group-Structured Dictionary Learning -- Group Polytope Faces Pursuit for Recovery of Block-Sparse Signals -- Nonnegative Matrix Factorization via Generalized Product Rule and Its Application for Classification -- An Algebraic Method for Approximate Rank One Factorization of Rank Deficient Matrices -- Bayesian Non-negative Matrix Factorization with Learned Temporal Smoothness Priors -- On Connection between the Convolutive and Ordinary Nonnegative Matrix Factorizations -- On Revealing Replicating Structures in Multiway Data: A Novel Tensor Decomposition Approach -- An On-Line NMF Model for Temporal Pattern Learning: Theory with Application to Automatic Speech Recognition -- Low-Latency Instrument Separation in Polyphonic Audio Using Timbre Models |
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Real-Time Speech Separation by Semi-supervised Nonnegative Matrix Factorization -- An Audio-Video Based IVA Algorithm for Source Separation and Evaluation on the AV16.3 Corpus -- Non-negative Matrix Factorization Based Noise Reduction for Noise Robust Automatic Speech Recognition -- Audio Imputation Using the Non-negative Hidden Markov Model -- A Non-negative Approach to Language Informed Speech Separation -- Temporally-Constrained Convolutive Probabilistic Latent Component Analysis for Multi-pitch Detection -- A Latently Constrained Mixture Model for Audio Source Separation and Localization -- Multiple Instrument Mixtures Source Separation Evaluation Using Instrument-Dependent NMF Models -- Complex Extension of Infinite Sparse Factor Analysis for Blind Speech Separation -- A General Framework for Online Audio Source Separation -- Sound Recognition in Mixtures -- The 2011 Signal Separation Evaluation Campaign (SiSEC2011): -- Audio Source Separation -- -- The 2011 Signal Separation Evaluation Campaign (SiSEC2011): -- Biomedical Data Analysis -- -- Improved Perceptual Metrics for the Evaluation of Audio Source Separation -- Musical Audio Source Separation Based on User-Selected F0 Track -- A GMM Sound Source Model for Blind Speech Separation in Under-determined Conditions -- Model-Driven Speech Enhancement for Multisource Reverberant Environment (Signal Separation Evaluation Campaign (SiSEC) 2011) -- Semi-blind Source Separation Based on ICA and Overlapped Speech Detection -- Nonparametric Modelling of ECG: Applications to Denoising and to Single Sensor Fetal ECG Extraction -- Nesterov's Iterations for NMF-Based Supervised Classification of Texture Patterns -- Detection of Aliasing in Image Sequences Using Nonlinear Factor Analysis -- Geometrical Method Using Simplicial Cones for Overdetermined Nonnegative Blind Source Separation: Application to Real PET Images -- Multi-domain Feature of Event-Related Potential Extracted by Nonnegative Tensor Factorization: 5 vs. 14 Electrodes EEG Data -- The Use of Linear Feature Projection for Precipitation Classification Using Measurements from Commercial Microwave Links -- Bayesian Inference of Latent Causes in Gene Regulatory Dynamics -- Bayesian Fuzzy Clustering of Colored Graphs |
| Summary |
Annotation 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 |
| Analysis |
Computer science |
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Software engineering |
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Computer software |
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Computational complexity |
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Computer simulation |
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Computer vision |
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Optical pattern recognition |
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Pattern Recognition |
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Image Processing and Computer Vision |
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Simulation and Modeling |
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Algorithm Analysis and Problem Complexity |
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Discrete Mathematics in Computer Science |
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Special Purpose and Application-Based Systems |
| Bibliography |
Includes bibliographical references and author index |
| In |
Springer eBooks |
| Subject |
Source separation (Signal processing) -- Congresses
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Image processing.
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Computer Simulation
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Software
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Algorithms
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algorithms.
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simulation.
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image processing.
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software.
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Informatique.
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Source separation (Signal processing)
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| Genre/Form |
Conference papers and proceedings
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Software.
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| Form |
Electronic book
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| Author |
Theis, Fabian J.
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| LC no. |
2012931865 |
| ISBN |
9783642285516 |
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3642285511 |
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3642285503 |
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9783642285509 |
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