Tensor

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 …
Ziyue Li, Hao Yan, Chen Zhang, Fugee Tsung
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Rapid Detection of Hot-Spots via Tensor Decomposition with Applications to Crime Rate Data
We propose an efficient statistical method (denoted as SSR-Tensor) to robustly and quickly detect hot-spots that are sparse and …
Yujie Zhao, Hao Yan, Sarah Holte, Yajun Mei
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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. …
Ziyue Li, Nurettin Dorukhan Sergin, Hao Yan, Chen Zhang, Fugee Tsung
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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 …
Xiaolei Fang, Hao Yan, Nagi Gebraeel, Kamran Paynabar
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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, …
Mostafa Reisi Gahrooei, Hao Yan, Kamran Paynabar, Jianjun Shi
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Structured Point Cloud Data Analysis Via Regularized Tensor Regression for Process Modeling and Optimization
Advanced 3D metrology technologies such as coordinate measuring machine and laser 3D scanners have facilitated the collection of …
Hao Yan, Kamran Paynabar, Massimo Pacella
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Rapid Detection of Hot-Spot by Tensor Decomposition with Application to Weekly Gonorrhea Data
In many bio-surveillance and healthcare applications, data sources are measured from many spatial locations repeatedly over time, say, …
Yujie Zhao, Hao Yan, Sarah E. Holte, Roxanne P. Kerani, Yajun Mei
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Real-Time Monitoring of High-Dimensional Functional Data Streams via Spatio-Temporal Smooth Sparse Decomposition
High-dimensional data monitoring and diagnosis has recently attracted increasing attention among researchers as well as practitioners. …
Hao Yan, Kamran Paynabar, Jianjun Shi
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HIGH DIMENSIONAL DATA ANALYSIS FOR ANOMALY DETECTION AND QUALITY IMPROVEMENT A Dissertation Presented to The Academic Faculty
Analysis of large-scale high-dimensional data with a complex heterogeneous data structure to extract information or useful features is …
Hao Yan
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Image-Based Process Monitoring Using Low-Rank Tensor Decomposition
Image and video sensors are increasingly being deployed in complex systems due to the rich process information that these sensors can …
Hao Yan, Kamran Paynabar, Jianjun Shi
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