Low-Rank Matrix and Tensor Factorization for Speed Field Reconstruction
Introduce a sequence of matrix/tensor factorization methods and their applications to traffic flow modeling —  Matrix factorization is a classical method for reconstructing missing values in matrix data. In such method, we can decompose a matrix into two factor matrices if it is possible to formulate a certain kind of optimization problem for the factorization. Tensor factorization is a higher-order extension of matrix factorization, showing…
Low-Rank Matrix and Tensor Factorization for Speed Field Reconstruction Introduce a sequence of matrix/tensor factorization methods and their applications to traffic flow modeling —  Matrix factorization is a classical method for reconstructing missing values in matrix data. In such method, we can decompose a matrix into two factor matrices if it is possible to formulate a certain kind of optimization problem for the factorization. Tensor factorization is a higher-order extension of matrix factorization, showing… data-science
LowRank Matrix Tensor Factorization Speed Field Reconstruction Introduce sequence matrixtensor factorization method application traffic flow modeling — Matrix factorization classical method reconstructing missing value matrix data method decompose matrix two factor matrix possible formulate certain kind optimization problem factorization Tensor factorization higherorder extension matrix factorization showing… datascience