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Fast tensor decompositions for big data processing

Viet Dung Nguyen and Karim Abed-Meraim and Linh Trung Nguyen (2016) Fast tensor decompositions for big data processing. In: 9th International Conference on Advanced Technologies for Communications (ATC), 12-14 October 2016, Hanoi, Vietnam.

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Official URL: http://dx.doi.org/10.1109/ATC.2016.7764776

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.

Item Type:Conference or Workshop Item (Paper)
Subjects:Electronics and Communications
Divisions:Faculty of Electronics and Telecommunications (FET)
ID Code:2190
Deposited By: A/Prof. Linh Trung Nguyen
Deposited On:08 Dec 2016 16:54
Last Modified:08 Dec 2016 16:55

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