Nguyen, Viet Dung and Abed-Meraim, Karim and Nguyen, Linh Trung (2017) Second-order optimization based adaptive PARAFAC decomposition of three-way tensors. Digital Signal Processing, 63 . pp. 100-111. ISSN 1051-2004
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Abstract
A fast adaptive parallel factor (PARAFAC) decomposition algorithm is proposed for a class of third-order tensors that have one dimension growing linearly with time. It is based on an alternating least squares approach in conjunction with a Newton-type optimization technique. By preserving the Khatri-Rao product and exploiting the the reduced-rank update structure of the estimated subspace at each time instant, the algorithm achieves linear complexity and superior convergence performance. A modified version of the algorithm is also proposed to deal with the non-negative constraint. In addition, parallel implementation issues are investigated. Finally, the performance of the algorithm is numerically studied and compared to several state-of-the-art algorithms.
Item Type: | Article |
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Subjects: | Electronics and Communications ISI-indexed journals |
Divisions: | Faculty of Electronics and Telecommunications (FET) |
Depositing User: | A/Prof. Linh Trung Nguyen |
Date Deposited: | 09 Jun 2017 11:37 |
Last Modified: | 09 Jun 2017 11:37 |
URI: | http://eprints.uet.vnu.edu.vn/eprints/id/eprint/2485 |
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- Second-order optimization based adaptive PARAFAC decomposition of three-way tensors. (deposited 09 Jun 2017 11:37) [Currently Displayed]
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