Matrix Completion with Temporal Constraint

Andy J Ma, Jacky CP Chan, Frodo KS Chan, Pong C Yuen, Terry CF Yip, Yee-Kit Tse, Vincent WS Wong & Grace LH Wong
Regular medical records are useful for medical practitioners to analyze and monitor patients health status especially for those with chronic disease. However, such records are usually incomplete due to unpunctuality and absence of patients. In order to resolve the missing data problem over time, tensor-based models have been developed for missing data imputation in recent papers. This approach makes use of the low-rank tensor assumption for highly correlated data in a short-time interval. Nevertheless, when...
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