@inproceedings{SisLab4453,
       booktitle = {ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
           month = {June},
           title = {A Fast Randomized Adaptive CP Decomposition For Streaming Tensors},
          author = {Trung Thanh Le and Abed Meraim Karim and Linh Trung Nguyen and Hafiane Adel},
            year = {2021},
           pages = {2910--2914},
             url = {https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4453/},
        abstract = {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.}
}