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Robust Regularized Low-Rank Matrix Models for Regression and Classification
While matrix variate regression models have been studied in many existing works, classical statistical and computational methods for the analysis of the regression coefficient estimation are highly affected by high dimensional and noisy matrix-valued predictors.
The Unsupervised Method of Vessel Movement Trajectory Prediction
In real-world application scenarios, it is crucial for marine navigators and security analysts to predict vessel movement trajectories at sea based on the Automated Identification System (AIS) data in a given time span.
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