TY  - CONF
CY  - Hanoi, Vietnam
ID  - SisLab2190
UR  - http://dx.doi.org/10.1109/ATC.2016.7764776
A1  - Nguyen, Viet Dung
A1  - Abed-Meraim, Karim
A1  - Nguyen, Linh Trung
Y1  - 2016/10//
N2  - 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.
TI  - Fast tensor decompositions for big data processing
SP  - 215
M2  - Hanoi, Vietnam
AV  - public
EP  - 221
T2  - 9th International Conference on Advanced Technologies for Communications (ATC)
ER  -