Latest

• Low-Rank Robust Subspace Tensor Clustering for Metro Passenger Flow Modeling
• Sparse Decomposition Methods for Spatio-Temporal Anomaly Detection
• Tensor Dirichlet Process Multinomial Mixture Model with Graphs for Passenger Trajectory Clustering
• Profile Decomposition based Hybrid Transfer Learning for Cold-start Data Anomaly Detection
• Individualized Passenger Travel Pattern Multi-Clustering based on Graph Regularized Tensor Latent Dirichlet Allocation
• Long-Short Term Spatiotemporal Tensor Prediction for Passenger Flow Profile
• Tensor Completion for Weakly-dependent Data on Graph for Metro Passenger Flow Prediction