Tensor

Personalized tucker decomposition: Modeling commonality and peculiarity on tensor data
Personalized Tucker decomposition modeling commonality and peculiarity on tensor data.
ANTLER: Bayesian nonlinear tensor learning and modeler for unstructured, varying-size point cloud data
Bayesian nonlinear tensor learning for unstructured point cloud data (ANTLER).
Project
Graph-aware Tensor Topic Models for Individualized Passenger Travel Pattern Clustering
Graph-aware tensor topic models for individualized passenger travel patterns.
Tensor dirichlet process multinomial mixture model with graphs for passenger trajectory clustering
Tensor dirichlet process multinomial mixture model with graphs for passenger trajectory clustering
Individualized Passenger Travel Pattern Multi-Clustering Based on Graph Regularized Tensor Latent Dirichlet Allocation
Individual passenger travel patterns have significant value in understanding passenger’s behavior, such as learning the hidden …
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A tensor voting-based surface anomaly classification approach by using 3D point cloud data
A tensor voting-based surface anomaly classification approach by using 3D point cloud data
Individualized passenger travel pattern multi-clustering based on graph regularized tensor latent Dirichlet allocation
Tensor latent Dirichlet allocation with graph regularization for passenger travel patterns.
Tensor Completion for Weakly-Dependent Data on Graph for Metro Passenger Flow Prediction
Low-rank tensor decomposition and completion have attracted significant interest from academia given the ubiquity of tensor data. …
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Tensor Completion for Weakly-Dependent Data on Graph for Metro Passenger Flow Prediction
Multi-Sensor Prognostics Modeling for Applications with Highly Incomplete Signals
Multi-stream degradation signals have been widely used to predict the residual useful lifetime of partially degraded systems. To …
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Multiple Tensor-on-Tensor Regression: An Approach for Modeling Processes With Heterogeneous Sources of Data
In recent years, measurement or collection of heterogeneous sets of data such as those containing scalars, waveform signals, images, …
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