Nesterov-based Alternating Optimization for Nonnegative Tensor Factorization: Algorithm and Parallel Implementation (bibtex)

by A. P. Liavas, G. Kostoulas, G. Lourakis, K. Huang and N. D. Sidiropoulos

Reference:

Nesterov-based Alternating Optimization for Nonnegative Tensor Factorization: Algorithm and Parallel Implementation (A. P. Liavas, G. Kostoulas, G. Lourakis, K. Huang and N. D. Sidiropoulos), In IEEE Transactions on Signal Processing, volume PP, 2017.

Bibtex Entry:

@article{8119874,
	author={A. P. Liavas and G. Kostoulas and G. Lourakis and K. Huang and N. D. Sidiropoulos},
	journal={IEEE Transactions on Signal Processing},
	title={Nesterov-based Alternating Optimization for Nonnegative Tensor Factorization: Algorithm and Parallel Implementation},
	year={2017},
	bibyear={2017},
	volume={PP},
	number={99},
	pages={1-1},
	keywords={Convergence;Convex functions;Linear matrix inequalities;Optimization;Parallel algorithms;Signal processing algorithms;Tensile stress;nonnegative tensor factorization;optimal first-order optimization algorithms;parallel algorithms;tensors},
	doi={10.1109/TSP.2017.2777399},
	url={http://doi.org/10.1109/TSP.2017.2777399},
	ISSN={1053-587X},
	month={},
	call={preparatory},
	acronym={NTF},
	fulltitle={Nonneghative Tensor Factorization},
	pi={Athanasios Liavas},
	affiliation={Technical University of Crete},
	researchfield={Engineering},
}