relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4453/
title: A Fast Randomized Adaptive CP Decomposition For Streaming Tensors
creator: Le, Trung Thanh
creator: Karim, Abed Meraim
creator: Nguyen, Linh Trung
creator: Adel, Hafiane
subject: Electronics and Computer Engineering
description: In this paper, we introduce a fast adaptive algorithm for CAN- DECOMP/PARAFAC decomposition of streaming three-way tensors using randomized sketching techniques. By leveraging randomized least-squares regression and approximating matrix multiplication, we propose an efficient first-order estimator to minimize an exponentially weighted recursive least- squares cost function. Our algorithm is fast, requiring a low computational complexity and memory storage. Experiments indicate that the proposed algorithm is capable of adaptive tensor decomposition with a competitive performance evaluation on both synthetic and real data.
date: 2021-06-08
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Le, Trung Thanh and Karim, Abed Meraim and Nguyen, Linh Trung and Adel, Hafiane  (2021) A Fast Randomized Adaptive CP Decomposition For Streaming Tensors.  In: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 6-11, June 2021, Canada.     
relation: https://ieeexplore.ieee.org/abstract/document/9413554