Time series, Traffic state forecasting, Spatial-temporal interaction, periodicity, SARIMAX, Deep learning
Convolutional sparse coding, residual architectures, unfolding module, initialization, compact representation
Traffic data imputation, Regularized Tucker decomposition, Spatiotemporal constraints, Alternating proximal gradient
Tensor completion, low-rank Tucker representation, prior modeling, proximal linearization, successive convex approximation
