57 citations · 101 across the 6 of their papers we have counts for
6 papers
A parametric non-negative coupled canonical polyadic decomposition algorithm for hyperspectral super-resolution
Xi-Yuan Liu, Xiao-Feng Gong, Lei Wang +2
Recently, coupled tensor decomposition has been widely used in data fusion of a hyperspectral image (HSI) and a multispectral image (MSI) for hyperspectral super-resolution (HSR).…
A Block Term Decomposition Model Based Algorithm for Tensor Completion of Multidimensional Harmonic Signals
Lei Wang, Xiao-Feng Gong, Xi-Yuan Liu +2
We consider tensor data completion of an incomplete observation of multidimensional harmonic (MH) signals. Unlike existing tensor-based techniques for MH retrieval (MHR), which mos…
A Coupled Random Projection Approach to Large-Scale Canonical Polyadic Decomposition
Lu-Ming Wang, Ya-Nan Wang, Xiao-Feng Gong +2
We propose a novel algorithm for the computation of canonical polyadic decomposition (CPD) of large-scale tensors. The proposed algorithm generalizes the random projection (RAP) te…
Double Coupled Canonical Polyadic Decomposition for Joint Blind Source Separation
Xiao-Feng Gong, Qiu-Hua Lin, Feng-Yu Cong +1
Joint blind source separation (J-BSS) is an emerging data-driven technique for multi-set data-fusion. In this paper, J-BSS is addressed from a tensorial perspective. We show how, b…
Generalized Non-orthogonal Joint Diagonalization with LU Decomposition and Successive Rotations
Xiao-Feng Gong, Xiu-Lin Wang, Qiu-Hua Lin
Non-orthogonal joint diagonalization (NJD) free of prewhitening has been widely studied in the context of blind source separation (BSS) and array signal processing, etc. However, N…
Combined Independent Component Analysis and Canonical Polyadic Decomposition via Joint Diagonalization
Xiao-Feng Gong, Cheng-Yuan Wang, Ya-Na Hao +1
Recently, there has been a trend to combine independent component analysis and canonical polyadic decomposition (ICA-CPD) for an enhanced robustness for the computation of CPD, and…