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An Incomplete Tensor Tucker decomposition based Traffic Speed Prediction Method
A latent factorization-of-tensors (LFT) model is one of the most attractive approaches to solve missing traffic data recovery due to its well-scalability.
An ADMM-Incorporated Latent Factorization of Tensors Method for QoS Prediction
We maintain the non-negativity of the model by constructing an augmented Lagrangian function with the ADMM optimization framework.
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