TY  - JOUR
ID  - SisLab2485
UR  - http://www.sciencedirect.com/science/article/pii/S105120041730009X
A1  - Nguyen, Viet Dung
A1  - Abed-Meraim, Karim
A1  - Nguyen, Linh Trung
Y1  - 2017/04//
N2  - 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.
PB  - Elsevier
JF  - Digital Signal Processing
VL  - 63
SN  - 1051-2004
TI  - Second-order optimization based adaptive PARAFAC decomposition of three-way tensors
SP  - 100
AV  - restricted
EP  - 111
ER  -