Latent Variable Analysis and Signal Separation: 13th International Conference, LVA/ICA 2017, Grenoble, France, February 21-23, 2017, Proceedings (Lecture Notes in Computer Science, 10169)

This book constitutes the proceedings of the 13th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2017, held in Grenoble, France, in Feburary 2017. The 53 papers presented in this volume were carefully reviewed and selected from 60 submissions. They were organized in topical sections named: tensor approaches; from source positions to room properties: learning methods for audio scene geometry estimation; tensors and audio; audio signal processing; theoretical developments; physics and bio signal processing; latent variable analysis in observation sciences; ICA theory and applications; and sparsity-aware signal processing. Front Matter....Pages I-XVI Front Matter....Pages 1-1 Higher-Order Block Term Decomposition for Spatially Folded fMRI Data....Pages 3-15 Modeling Parallel Wiener-Hammerstein Systems Using Tensor Decomposition of Volterra Kernels....Pages 16-25 Fast Nonnegative Matrix Factorization and Completion Using Nesterov Iterations....Pages 26-35 Blind Source Separation of Single Channel Mixture Using Tensorization and Tensor Diagonalization....Pages 36-46 High-Resolution Subspace-Based Methods: Eigenvalue- or Eigenvector-Based Estimation?....Pages 47-56 Front Matter....Pages 57-57 Speaker Tracking on Multiple-Manifolds with Distributed Microphones....Pages 59-67 VAST: The Virtual Acoustic Space Traveler Dataset....Pages 68-79 Sketching for Nearfield Acoustic Imaging of Heavy-Tailed Sources....Pages 80-88 Acoustic DoA Estimation by One Unsophisticated Sensor....Pages 89-98 Acoustic Source Localization by Combination of Supervised Direction-of-Arrival Estimation with Disjoint Component Analysis....Pages 99-108 Front Matter....Pages 109-109 An Initialization Method for Nonlinear Model Reduction Using the CP Decomposition....Pages 111-120 Audio Zoom for Smartphones Based on Multiple Adaptive Beamformers....Pages 121-130 Complex Valued Robust Multidimensional SOBI....Pages 131-140 Ego Noise Reduction for Hose-Shaped Rescue Robot Combining Independent Low-Rank Matrix Analysis and Multichannel Noise Cancellation....Pages 141-151 Some Theory on Non-negative Tucker Decomposition....Pages 152-161 A New Algorithm for Multimodal Soft Coupling....Pages 162-171 Adaptive Blind Separation of Instantaneous Linear Mixtures of Independent Sources....Pages 172-181 Source Separation, Dereverberation and Noise Reduction Using LCMV Beamformer and Postfilter....Pages 182-191 Toward Rank Disaggregation: An Approach Based on Linear Programming and Latent Variable Analysis....Pages 192-200 A Proximal Approach for Nonnegative Tensor Decomposition....Pages 201-210 Front Matter....Pages 109-109 Psychophysical Evaluation of Audio Source Separation Methods....Pages 211-221 Front Matter....Pages 223-223 On the Use of Latent Mixing Filters in Audio Source Separation....Pages 225-235 Discriminative Enhancement for Single Channel Audio Source Separation Using Deep Neural Networks....Pages 236-246 Audiovisual Speech Separation Based on Independent Vector Analysis Using a Visual Voice Activity Detector....Pages 247-257 Monoaural Audio Source Separation Using Deep Convolutional Neural Networks....Pages 258-266 Front Matter....Pages 267-267 On the Behaviour of the Estimated Fourth-Order Cumulants Matrix of a High-Dimensional Gaussian White Noise....Pages 269-278 Caveats with Stochastic Gradient and Maximum Likelihood Based ICA for EEG....Pages 279-289 Approximate Joint Diagonalization According to the Natural Riemannian Distance....Pages 290-299 Gaussian Processes for Source Separation in Overdetermined Bilinear Mixtures....Pages 300-309 Model-Independent Method of Nonlinear Blind Source Separation....Pages 310-319 Front Matter....Pages 321-321 The 2016 Signal Separation Evaluation Campaign....Pages 323-332 Multimodality for Rainfall Measurement....Pages 333-343 Particle Flow SMC-PHD Filter for Audio-Visual Multi-speaker Tracking....Pages 344-353 Front Matter....Pages 355-355 Estimation of the Intrinsic Dimensionality in Hyperspectral Imagery via the Hubness Phenomenon....Pages 357-366 A Blind Identification and Source Separation Method Based on Subspace Intersections for Hyperspectral Astrophysical Data....Pages 367-380 Estimating the Number of Endmembers to Use in Spectral Unmixing of Hyperspectral Data with Collaborative Sparsity....Pages 381-391 Sharpening Hyperspectral Images Using Plug-and-Play Priors....Pages 392-402 On Extracting the Cosmic Microwave Background from Multi-channel Measurements....Pages 403-413 Front Matter....Pages 415-415 Kernel-Based NPLS for Continuous Trajectory Decoding from ECoG Data for BCI Applications....Pages 417-426 On the Optimal Non-linearities for Gaussian Mixtures in FastICA....Pages 427-437 Front Matter....Pages 415-415 Fast Disentanglement-Based Blind Quantum Source Separation and Process Tomography: A Closed-Form Solution Using a Feedback Classical Adapting Structure....Pages 438-448 Blind Separation of Cyclostationary Sources with Common Cyclic Frequencies....Pages 449-458 Adaptation of a Gaussian Mixture Regressor to a New Input Distribution: Extending the C-GMR Framework....Pages 459-468 Efficient Optimization of the Adaptive ICA Function with Estimating the Number of Non-Gaussian Sources....Pages 469-478 Feasibility of WiFi Site-Surveying Using Crowdsourced Data....Pages 479-488 On Minimum Entropy Deconvolution of Bi-level Images....Pages 489-498 A Joint Second-Order Statistics and Density Matching-Based Approach for Separation of Post-Nonlinear Mixtures....Pages 499-508 Optimal Measurement Times for Observing a Brownian Motion over a Finite Period Using a Kalman Filter....Pages 509-518 On Disjoint Component Analysis....Pages 519-528 Front Matter....Pages 529-529 Accelerated Dictionary Learning for Sparse Signal Representation....Pages 531-541 BSS with Corrupted Data in Transformed Domains....Pages 542-552 Multimodal Approach to Remove Ocular Artifacts from EEG Signals Using Multiple Measurement Vectors....Pages 553-562 Back Matter....Pages 563-573 ....Pages 575-576