GLSKF additively combines covariance-regularized low-rank tensor factorization with a locally correlated residual module under a generalized least squares objective for missing-data completion.
Low-rank autoregressive tensor completion for spatiotemporal traffic data imputation,
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Generalized Least Squares Kernelized Tensor Factorization
GLSKF additively combines covariance-regularized low-rank tensor factorization with a locally correlated residual module under a generalized least squares objective for missing-data completion.