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Disambiguation of "Phan, Anh-Huy"

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Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions

, , , , , and . Foundations and Trends® in Machine Learning, 9 (4-5): 249--429 (2016)
DOI: 10.1561/2200000059

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Phan-Huy Hong

Phan-huy Oánh

Anh-Huy Huynh

Huynh Anh Huy

Ngoc Anh Huy Ho

 

Other publications of authors with the same name

Partitioned Alternating Least Squares Technique for Canonical Polyadic Tensor Decomposition., , and . IEEE Signal Process. Lett., 23 (7): 993-997 (2016)Classifying Healthy Children and Children with Attention Deficit through Features Derived from Sparse and Nonnegative Tensor Factorization Using Event-Related Potential., , , , and . LVA/ICA, volume 6365 of Lecture Notes in Computer Science, page 620-628. Springer, (2010)Documents Representation via Generalized Coupled Tensor Chain with the Rotation Group constraint., , , and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 1674-1684. Association for Computational Linguistics, (2021)Blind Source Separation of Single Channel Mixture Using Tensorization and Tensor Diagonalization., , and . LVA/ICA, volume 10169 of Lecture Notes in Computer Science, page 36-46. (2017)On Connection between the Convolutive and Ordinary Nonnegative Matrix Factorizations., , , and . LVA/ICA, volume 7191 of Lecture Notes in Computer Science, page 288-296. Springer, (2012)From basis components to complex structural patterns., , , , and . ICASSP, page 3228-3232. IEEE, (2013)An augmented Lagrangian algorithm for decomposition of symmetric tensors of order-4., , and . ICASSP, page 2547-2551. IEEE, (2017)Tensor Networks for Latent Variable Analysis: Novel Algorithms for Tensor Train Approximation., , , , , and . IEEE Trans. Neural Networks Learn. Syst., 31 (11): 4622-4636 (2020)A compressive sensing approach for progressive transmission of images., , , , and . DPS, page 1-5. IEEE, (2009)TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning., , , , , and . NeurIPS, (2022)