thanhtbt Goto Github PK
Name: Thanh Trung Le
Type: User
Company: Vietnam National University, Hanoi (VNU-UET)
Bio: Ph.D. in Signal Processing
Location: Hanoi, Vietnam
Blog: thanhtbt.github.io
Name: Thanh Trung Le
Type: User
Company: Vietnam National University, Hanoi (VNU-UET)
Bio: Ph.D. in Signal Processing
Location: Hanoi, Vietnam
Blog: thanhtbt.github.io
[IEEE ICASSP 2023] "Robust Subspace Tracking with Contamination Mitigation via Alpha-Divergence". In 48th IEEE International Conference on Acoustics, Speech, & Signal Processing, 2023.
[EUSIPCO 2020] "Adaptive Algorithms for Tensor Train Decomposition of Streaming Tensors". In 28th European Signal Processing Conference, 2020.
[SP 2024] A Novel Recursive Least-Squares Adaptive Method For Streaming Tensor-Train Decomposition With Incomplete Observations. In Elsevier Signal Processing, 2024.
A list of up-to-date papers on computer-aided methods for Alzheimer detection
[EUSIPCO 2022] "Robust Tensor Tracking With Missing Data Under Tensor-Train Format". In 30th European Signal Processing Conference, 2022.
[IEEE ATC 2017] "On the overall ROC of multistage systems". In IEEE International Conference on Advanced Technologies for Communications, 2017.
[IEEE ICASSP 2021] "A fast randomized adaptive CP decomposition for streaming tensors". In 46th IEEE International Conference on Acoustics, Speech, & Signal Processing, 2021.
[APSIPA ASC 2022] "Robust Online Tucker Dictionary Learning from Multidimensional Data Streams". In Proc. 14th APSIPA Annual Summit and Conference, 2022.
[IEEE TSP 2021] “Robust Subspace Tracking with Missing Data and Outliers: Novel Algorithm with Convergence Guarantee”. IEEE Transactions on Signal Processing, 2021.
[IEEE TSP 2024] "OPIT: A Simple but Effective Sparse Subspace Tracking". In IEEE Transactions on Signal Process. 2024
[Patterns 2023] Tracking Online Low-Rank Approximations of Higher-Order Incomplete Streaming Tensors. In Patterns (Cell Press) 2023.
[IEEE TKDE 2023] A list of up-to-date papers on streaming tensor decomposition, tensor tracking, dynamic tensor analysis
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