Thanh Trung Le (@thanhtbt)
  • Stars
    star
    53
  • Global Rank 327,510 (Top 12 %)
  • Followers 33
  • Following 4
  • Registered over 7 years ago
  • Most used languages
    MATLAB
    100.0 %
  • Location ๐Ÿ‡ป๐Ÿ‡ณ Vietnam
  • Country Total Rank 1,576
  • Country Ranking
    MATLAB
    7

Top repositories

1

RST

[IEEE TSP 2021] โ€œRobust Subspace Tracking with Missing Data and Outliers: Novel Algorithm with Convergence Guaranteeโ€. IEEE Transactions on Signal Processing, 2021.
MATLAB
13
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2

tensor_tracking_survey

[IEEE TKDE 2023] A list of up-to-date papers on streaming tensor decomposition, tensor tracking, dynamic tensor analysis
9
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3

ATT-miss

[SP 2024] A Novel Recursive Least-Squares Adaptive Method For Streaming Tensor-Train Decomposition With Incomplete Observations. In Elsevier Signal Processing, 2024.
MATLAB
8
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4

ROLCP

[IEEE ICASSP 2021] "A fast randomized adaptive CP decomposition for streaming tensors". In 46th IEEE International Conference on Acoustics, Speech, & Signal Processing, 2021.
MATLAB
7
star
5

Tensor_Tracking

[Patterns 2023] Tracking Online Low-Rank Approximations of Higher-Order Incomplete Streaming Tensors. In Patterns (Cell Press) 2023.
MATLAB
5
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6

SST

[IEEE TSP 2024] "OPIT: A Simple but Effective Sparse Subspace Tracking". In IEEE Transactions on Signal Process. 2024
MATLAB
3
star
7

aFAPI

[IEEE ICASSP 2023] "Robust Subspace Tracking with Contamination Mitigation via Alpha-Divergence". In 48th IEEE International Conference on Acoustics, Speech, & Signal Processing, 2023.
MATLAB
3
star
8

ATT

[EUSIPCO 2020] "Adaptive Algorithms for Tensor Train Decomposition of Streaming Tensors". In 28th European Signal Processing Conference, 2020.
MATLAB
2
star
9

ROTDL

[APSIPA ASC 2022] "Robust Online Tucker Dictionary Learning from Multidimensional Data Streams". In Proc. 14th APSIPA Annual Summit and Conference, 2022.
MATLAB
1
star
10

ROBOT

[EUSIPCO 2022] "Robust Tensor Tracking With Missing Data Under Tensor-Train Format". In 30th European Signal Processing Conference, 2022.
MATLAB
1
star