@inproceedings{2467c166f90042278a3a97ab519d8e80,
title = "Nonnegative PARAFAC2: a flexible coupling approach",
abstract = "Modeling variability in tensor decomposition methods is one of the challenges of source separation. One possible solution to account for variations from one data set to another, jointly analysed, is to resort to the PARAFAC2 model. However, so far imposing constraints on the mode with variability has not been possible. In the following manuscript, a relaxation of the PARAFAC2 model is introduced, that allows for imposing nonnegativity constraints on the varying mode. An algorithm to compute the proposed flexible PARAFAC2 model is derived, and its performance is studied on both synthetic and chemometrics data.",
keywords = "Flexible coupling, Nonnegativity constraints, PARAFAC2",
author = "Cohen, {Jeremy E.} and Rasmus Bro",
year = "2018",
doi = "10.1007/978-3-319-93764-9_9",
language = "English",
isbn = "978-3-319-93763-2",
series = "Lecture notes in computer science",
publisher = "Springer",
pages = "89--98",
editor = "Yannick Deville and Sharon Gannot and Russell Mason and Plumbley, {Mark D.} and Dominic Ward",
booktitle = "Latent Variable Analysis and Signal Separation",
address = "Switzerland",
note = "14th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2018 ; Conference date: 02-07-2018 Through 05-07-2018",
}