The survey on multi-source data fusion in cyber-physical-social systems: Foundational infrastructure for industrial metaverses and industries 5.0
X Wang, Y Wang, J Yang, X Jia, L Li, W Ding… - Information Fusion, 2024 - Elsevier
As the concept of Industries 5.0 develops, industrial metaverses are expected to operate in
parallel with the actual industrial processes to offer “Human-Centric” Safe, Secure …
parallel with the actual industrial processes to offer “Human-Centric” Safe, Secure …
Learning Robust and Sparse Principal Components with the α-Divergence
AM Rekavandi, AK Seghouane… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In this paper, novel robust principal component analysis (RPCA) methods are proposed to
exploit the local structure of datasets. The proposed methods are derived by minimizing the …
exploit the local structure of datasets. The proposed methods are derived by minimizing the …
A sequential multilinear Nyström algorithm for streaming low-rank approximation of tensors in Tucker format
We present a sequential version of the multilinear Nyström algorithm which is suitable for
low-rank Tucker approximation of tensors given in a streaming format. Accessing the tensor …
low-rank Tucker approximation of tensors given in a streaming format. Accessing the tensor …
A low-rank support tensor machine for multi-classification
In recent decades, there has been an increasing demand for effectively handling high-
dimensional multi-channel tensor data. Due to the inability to utilize internal structural …
dimensional multi-channel tensor data. Due to the inability to utilize internal structural …
Adaptive joint channel estimation/data detection in flexible multicarrier MIMO systems—A tensor-based approach
E Kofidis - ICASSP 2024-2024 IEEE International Conference …, 2024 - ieeexplore.ieee.org
Multiple-input multiple-output (MIMO) systems employing multicarrier modulation (MCM),
including flexible MCM that unifies several MCM schemes, have been well studied recently …
including flexible MCM that unifies several MCM schemes, have been well studied recently …
Scale-variant structural feature construction of EEG stream via component-increased Dynamic Tensor Decomposition
The capability of constructing structural features of EEG stream has long been pursued to
track the events and abnormalities correlating multiple data domains in a variant time scale …
track the events and abnormalities correlating multiple data domains in a variant time scale …
Robust online Tucker dictionary learning from multidimensional data streams
Big data streaming analytics has recently attracted much attention in the signal and
information processing communities due to the fact that massive streaming datasets have …
information processing communities due to the fact that massive streaming datasets have …
Online Nonconvex Robust Tensor Principal Component Analysis
Robust tensor principal component analysis (RTPCA) based on tensor singular value
decomposition (t-SVD) separates the low-rank component and the sparse component from …
decomposition (t-SVD) separates the low-rank component and the sparse component from …
Tracking online low-rank approximations of higher-order incomplete streaming tensors
In this paper, we propose two new provable algorithms for tracking online low-rank
approximations of high-order streaming tensors with missing data. The first algorithm …
approximations of high-order streaming tensors with missing data. The first algorithm …
Tensor decomposition meets blind source separation
In this paper, we investigate the problem of blind source separation (BSS) through the lens
of tensor decomposition (TD). Two fundamental connections between TD and BSS are …
of tensor decomposition (TD). Two fundamental connections between TD and BSS are …