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20172020
most citedSTELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization

3 citations · 4 across the 7 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

eess.SP2018

Data-Driven Learning-Based Optimization for Distribution System State Estimation

Ahmed S. Zamzam, Xiao Fu, Nicholas D. Sidiropoulos

Distribution system state estimation (DSSE) is a core task for monitoring and control of distribution networks. Widely used algorithms such as Gauss-Netwon perform poorly with the…

eess.SP2018

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

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

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

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…