Latent Variable Analysis and Signal Separation

Table of Contents

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   Book Overview
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   Chapter 1 Stochastic and Deterministic Tensorization for Blind Signal Separation
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   Chapter 2 Block-Decoupling Multivariate Polynomials Using the Tensor Block-Term Decomposition
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   Chapter 3 A Polynomial Formulation for Joint Decomposition of Symmetric Tensors of Different Orders
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   Chapter 4 Rank Splitting for CANDECOMP/PARAFAC
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   Chapter 5 Some Rank Conditions for the Identifiability of the Sparse Paralind Model
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   Chapter 6 Tensors and Latent Variable Models
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   Chapter 7 Tensor Factorisation Approach for Separation of Convolutive Complex Communication Signals
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   Chapter 8 Enhanced Tensor Based Semi-blind Estimation Algorithm for Relay-Assisted MIMO Systems
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    Chapter 9 Improving Deep Neural Network Based Speech Enhancement in Low SNR Environments
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    Chapter 10 Noise Perturbation Improves Supervised Speech Separation
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    Chapter 11 Speech Enhancement with LSTM Recurrent Neural Networks and its Application to Noise-Robust ASR
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    Chapter 12 Adaptive Denoising Autoencoders: A Fine-Tuning Scheme to Learn from Test Mixtures
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    Chapter 13 Joint Independent Subspace Analysis: A Quasi-Newton Algorithm
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    Chapter 14 Joint Decompositions with Flexible Couplings
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    Chapter 15 Learning Coupled Embedding Using MultiView Diffusion Maps
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    Chapter 16 Extraction of Temporal Patterns in Multi-rate and Multi-modal Datasets
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    Chapter 17 Audio-Visual Speech-Turn Detection and Tracking
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    Chapter 18 An Overview of Blind Source Separation Methods for Linear-Quadratic and Post-nonlinear Mixtures
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    Chapter 19 Nonlinear Sparse Component Analysis with a Reference: Variable Selection in Genomics and Proteomics
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    Chapter 20 Source Separation in Post-nonlinear Mixtures by Means of Monotonic Networks
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    Chapter 21 From Blind Quantum Source Separation to Blind Quantum Process Tomography
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    Chapter 22 Blind Source Separation in Nonlinear Mixture for Colored Sources Using Signal Derivatives
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    Chapter 23 A Study on Manifolds of Acoustic Responses
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    Chapter 24 A Polynomial Dictionary Learning Method for Acoustic Impulse Response Modeling
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    Chapter 25 A Local Model of Relative Transfer Functions Involving Sparsity
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    Chapter 26 Improving Relative Transfer Function Estimates Using Second-Order Cone Programming
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    Chapter 27 System Identification in the Behavioral Setting
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    Chapter 28 Sparsity and Cosparsity for Audio Declipping: A Flexible Non-convex Approach
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    Chapter 29 Joint Audio Inpainting and Source Separation
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    Chapter 30 Audio Source Separation with Discriminative Scattering Networks
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    Chapter 31 A Dictionary Learning Method for Sparse Representation Using a Homotopy Approach
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    Chapter 32 Invertible Nonlinear Dimensionality Reduction via Joint Dictionary Learning
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    Chapter 33 Patchworking Multiple Pairwise Distances for Learning with Distance Matrices
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    Chapter 34 Robust Structured Low-Rank Approximation on the Grassmannian
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    Chapter 35 Blind Separation of Mixtures of Piecewise AR(1) Processes and Model Mismatch
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    Chapter 36 Theoretical Studies and Algorithms Regarding the Solution of Non-invertible Nonlinear Source Separation
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    Chapter 37 A Block-Jacobi Algorithm for Non-Symmetric Joint Diagonalization of Matrices
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    Chapter 38 An Affine Equivariant Robust Second-Order BSS Method
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    Chapter 39 An Overview of the Asymptotic Performance of the Family of the FastICA Algorithms
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    Chapter 40 A MAP-Based Order Estimation Procedure for Sparse Channel Estimation
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    Chapter 41 Bayesian Blind Source Separation with Unknown Prior Covariance
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    Chapter 42 Convex Recovery of Tensors Using Nuclear Norm Penalization
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    Chapter 43 Linear Discriminant Analysis with Adherent Regularization
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    Chapter 44 Split Gradient Method for Informed Non-negative Matrix Factorization
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    Chapter 45 The 2015 Signal Separation Evaluation Campaign
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    Chapter 46 A Geometrically Constrained Independent Vector Analysis Algorithm for Online Source Extraction
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    Chapter 47 On-line Multichannel Estimation of Source Spectral Dominance
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    Chapter 48 Component-Adaptive Priors for NMF
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    Chapter 49 Estimating Correlation Coefficient Between Two Complex Signals Without Phase Observation
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    Chapter 50 Latent Variable Analysis and Signal Separation
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    Chapter 51 Evaluation of the Convolutional NMF for Supervised Polyphonic Music Transcription and Note Isolation
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    Chapter 52 Masked Positive Semi-definite Tensor Interpolation
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    Chapter 53 On the Suppression of Noise from a Fast Moving Acoustic Source Using Multimodality
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    Chapter 54 Speaker Verification Using Adaptive Dictionaries in Non-negative Spectrogram Deconvolution
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    Chapter 55 Towards Individualized Spatial Audio via Latent Variable Modeling
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    Chapter 56 Blind Separation of Surface Electromyographic Mixtures from Two Finger Extensor Muscles
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    Chapter 57 Multivariate Fusion of EEG and Functional MRI Data Using ICA: Algorithm Choice and Performance Analysis
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    Chapter 58 Blind Calibration of Mobile Sensors Using Informed Nonnegative Matrix Factorization
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    Chapter 59 Texture Retrieval Using Scattering Coefficients and Probability Product Kernels
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    Chapter 60 Acceleration of Perfusion MRI Using Locally Low-Rank Plus Sparse Model
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    Chapter 61 Decomposition-Based Compression of Ultrasound Raw-Data