relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2947/
title: A Non-Linear Tensor Tracking Algorithm for Analysis of Incomplete Multi-Channel EEG Data
creator: Nguyen, Linh Trung
creator: Truong, Minh Chinh
creator: Nguyen, Viet Dung
creator: Abed-Meraim, Karim
subject: Electronics and Communications
subject: Information Technology (IT)
description: Tensor decomposition is a popular tool to analyse and process data which can be represented by a higher-order  tensor structure. In this paper, we consider tensor  tracking in challenging situations where the observed data are streaming and incomplete. Specifically, we proposed a non-linear formulation of the PETRELS cost function and based on which we proposed NL-PETRELS subspace and tensor tracking algorithms. The non-linear function allows us to improve the convergence rate. We also illustrated the use of our proposed tensor tracking for incomplete multi-channel electroencephalogram (EEG) data in a real-life experiment in which the data can be represented by a third-order tensor.
date: 2018-03-26
type: Conference or Workshop Item
type: PeerReviewed
format: application/pdf
language: en
identifier: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2947/1/ISMICT2018_final_revised.pdf
format: application/pdf
language: en
identifier: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2947/2/p114-linh-trung.pdf
identifier:   Nguyen, Linh Trung and Truong, Minh Chinh and Nguyen, Viet Dung and Abed-Meraim, Karim  (2018) A Non-Linear Tensor Tracking Algorithm for Analysis of Incomplete Multi-Channel EEG Data.  In: 12th International Symposium on Medical Information and Communication Technology (ISMICT), 26-28 March 2017, Sydney, Australia.     
relation: http://www.ismict2018.org/