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20142022
most citedTensor Decomposition for Signal Processing and Machine Learning

1.7k citations · 5.2k across the 50 of their papers we have counts for

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Showing 2018Show all

6 papers · 1 filter

eess.SP2018★ 70 cited

Tensor-Based Channel Estimation for Dual-Polarized Massive MIMO Systems

Cheng Qian, Xiao Fu, Nicholas D. Sidiropoulos +1

The 3GPP suggests to combine dual polarized (DP) antenna arrays with the double directional (DD) channel model for downlink channel estimation. This combination strikes a good bala…

cs.LG2018★ 40 cited

Structured SUMCOR Multiview Canonical Correlation Analysis for Large-Scale Data

Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos +1

The sum-of-correlations (SUMCOR) formulation of generalized canonical correlation analysis (GCCA) seeks highly correlated low-dimensional representations of different views via max…

eess.SP2018★ 241 cited

Hyperspectral Super-Resolution: A Coupled Tensor Factorization Approach

Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos +1

Hyperspectral super-resolution refers to the problem of fusing a hyperspectral image (HSI) and a multispectral image (MSI) to produce a super-resolution image (SRI) that has fine s…

eess.SP2018★ 2 cited

Tensor-Based Parameter Estimation of Double Directional Massive MIMO Channel with Dual-Polarized Antennas

Cheng Qian, Xiao Fu, Nicholas D. Sidiropoulos +1

The 3GPP suggests to combine dual polarized (DP) antenna arrays with the double directional (DD) channel model for downlink channel estimation. This combination strikes a good bala…

eess.SP2018★ 240 cited

Nonnegative Matrix Factorization for Signal and Data Analytics: Identifiability, Algorithms, and Applications

Xiao Fu, Kejun Huang, Nicholas D. Sidiropoulos +1

Nonnegative matrix factorization (NMF) has become a workhorse for signal and data analytics, triggered by its model parsimony and interpretability. Perhaps a bit surprisingly, the…

cs.CL2018★ 11 cited

Learning Hidden Markov Models from Pairwise Co-occurrences with Application to Topic Modeling

Kejun Huang, Xiao Fu, Nicholas D. Sidiropoulos

We present a new algorithm for identifying the transition and emission probabilities of a hidden Markov model (HMM) from the emitted data. Expectation-maximization becomes computat…