eprintid: 2190
rev_number: 7
eprint_status: archive
userid: 17
dir: disk0/00/00/21/90
datestamp: 2016-12-08 16:54:49
lastmod: 2016-12-08 16:55:27
status_changed: 2016-12-08 16:54:49
type: conference_item
metadata_visibility: show
creators_name: Nguyen, Viet Dung
creators_name: Abed-Meraim, Karim
creators_name: Nguyen, Linh Trung
creators_id: linhtrung@vnu.edu.vn
title: Fast tensor decompositions for big data processing
ispublished: pub
subjects: ECE
divisions: fac_fet
abstract: Tensors, as a natural extension of matrices, and their decompositions provide important tools in many disciplines such as psychometrics, signal processing, data communication, computer vision, and machine learning. The main objective of this paper is to briefly review several recent state-of-the-art approaches for large-scale tensor data which is a crucial part of big data. Moreover, we also introduce our own contributions on this topic.
date: 2016-10
date_type: published
official_url: http://dx.doi.org/10.1109/ATC.2016.7764776
full_text_status: public
pres_type: paper
place_of_pub: Hanoi, Vietnam
pagerange: 215-221
event_title: 9th International Conference on Advanced Technologies for Communications (ATC)
event_location: Hanoi, Vietnam
event_dates: 12-14 October 2016
event_type: conference
refereed: TRUE
citation:   Nguyen, Viet Dung and Abed-Meraim, Karim and Nguyen, Linh Trung  (2016) Fast tensor decompositions for big data processing.  In: 9th International Conference on Advanced Technologies for Communications (ATC), 12-14 October 2016, Hanoi, Vietnam.     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2190/1/07764776.pdf