Vincent E., Yeredor A., Koldovský Z., Tichavský P. (eds.) Latent Variable Analysis and Signal Separation

New York: Springer, 2015. — 532 p.This book constitutes the proceedings of the 12th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICS 2015, held in Liberec, Czech Republic, in August 2015. The 61 revised full papers presented – 29 accepted as oral presentations and 32 accepted as poster presentations – were carefully reviewed and selected from numerous submissions. Five special topics are addressed: tensor-based methods for blind signal separation; deep neural networks for supervised speech separation/enhancement; joined analysis of multiple datasets, data fusion, and related topics; advances in nonlinear blind source separation; sparse and low rank modeling for acoustic signal processing.Stochastic and Deterministic Tensorization for Blind Signal Separations
BlockDecoupling Multivariate Polynomials Using the Tensor BlockTerm Decompositions
A Polynomial Formulation for Joint Decomposition of Symmetric Tensors of Different Orderss
Rank Splitting for CANDECOMP/PARAFACs
Some Rank Conditions for the Identifiability of the Sparse Paralind Models
Tensors and Latent Variable Modelss
Tensor Factorisation Approach for Separation of Convolutive Complex Communication Signalss
Enhanced Tensor Based Semiblind Estimation Algorithm for RelayAssisted MIMO SystemssImproving Deep Neural Network Based Speech Enhancement in Low SNR Environmentss
Noise Perturbation Improves Supervised Speech Separations
Speech Enhancement with LSTM Recurrent Neural Networks and its Application to NoiseRobust ASRs
Adaptive Denoising Autoencoders: A FineTuning Scheme to Learn from Test MixturessFront Matters
Joint Independent Subspace Analysis: A QuasiNewton Algorithms
Joint Decompositions with Flexible Couplingss
Learning Coupled Embedding Using MultiView Diffusion Mapss
Extraction of Temporal Patterns in Multirate and Multimodal Datasetss
AudioVisual SpeechTurn Detection and TrackingsAn Overview of Blind Source Separation Methods for LinearQuadratic and Postnonlinear Mixturess
Nonlinear Sparse Component Analysis with a Reference: Variable Selection in Genomics and Proteomicss
Source Separation in Postnonlinear Mixtures by Means of Monotonic NetworkssFrom Blind Quantum Source Separation to Blind Quantum Process Tomographys
Blind Source Separation in Nonlinear Mixture for Colored Sources Using Signal DerivativessA Study on Manifolds of Acoustic Responsess
A Polynomial Dictionary Learning Method for Acoustic Impulse Response Modelings
A Local Model of Relative Transfer Functions Involving Sparsitys
Improving Relative Transfer Function Estimates Using SecondOrder Cone Programmings
System Identification in the Behavioral Settings
Sparsity and Cosparsity for Audio Declipping: A Flexible Nonconvex Approachs
Joint Audio Inpainting and Source Separations
Audio Source Separation with Discriminative Scattering NetworkssA Dictionary Learning Method for Sparse Representation Using a Homotopy Approachs
Invertible Nonlinear Dimensionality Reduction via Joint Dictionary Learnings
Patchworking Multiple Pairwise Distances for Learning with Distance Matricess
Robust Structured LowRank Approximation on the Grassmannians
Blind Separation of Mixtures of Piecewise AR() Processes and Model Mismatchs
Theoretical Studies and Algorithms Regarding the Solution of Noninvertible Nonlinear Source Separations
A BlockJacobi Algorithm for NonSymmetric Joint Diagonalization of Matricess
An Affine Equivariant Robust SecondOrder BSS Methods
An Overview of the Asymptotic Performance of the Family of the FastICA Algorithmss
A MAPBased Order Estimation Procedure for Sparse Channel EstimationsBayesian Blind Source Separation with Unknown Prior Covariances
Convex Recovery of Tensors Using Nuclear Norm Penalizations
Linear Discriminant Analysis with Adherent Regularizations
Split Gradient Method for Informed Nonnegative Matrix FactorizationsThe Signal Separation Evaluation Campaigns
A Geometrically Constrained Independent Vector Analysis Algorithm for Online Source Extractions
Online Multichannel Estimation of Source Spectral Dominances
ComponentAdaptive Priors for NMFs
Estimating Correlation Coefficient Between Two Complex Signals Without Phase Observations
Deep Karaoke: Extracting Vocals from Musical Mixtures Using a Convolutional Deep Neural Networks
Evaluation of the Convolutional NMF for Supervised Polyphonic Music Transcription and Note Isolations
Masked Positive Semidefinite Tensor Interpolations
On the Suppression of Noise from a Fast Moving Acoustic Source Using Multimodalitys
Speaker Verification Using Adaptive Dictionaries in Nonnegative Spectrogram Deconvolutions
Towards Individualized Spatial Audio via Latent Variable ModelingsBlind Separation of Surface Electromyographic Mixtures from Two Finger Extensor Muscless
Multivariate Fusion of EEG and Functional MRI Data Using ICA: Algorithm Choice and Performance Analysiss
Blind Calibration of Mobile Sensors Using Informed Nonnegative Matrix Factorizations
Texture Retrieval Using Scattering Coefficients and Probability Product Kernelss
Acceleration of Perfusion MRI Using Locally LowRank Plus Sparse ModelsDecompositionBased Compression of Ultrasound RawDatas