@article{779743,
      note = {International conference proceedings.},
      author = {Tichavský, Petr, and Babaie-Zadeh, Massoud, and Michel,  Olivier J. J. and Thirion-Moreau, Nadège,},
      url = {http://library.usi.edu/record/779743},
      title = {Latent variable analysis and signal separation : 13th  International Conference, LVA/ICA 2017, Grenoble, France,  February 21-23, 2017, Proceedings /. LVA/ICA (Conference)},
      abstract = {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. .},
      doi = {https://doi.org/10.1007/978-3-319-53547-0},
      recid = {779743},
      pages = {1 online resource (xvi, 576 pages) :},
}