Variational Bayesian Filtering with Subspace Information for Extreme Spatio-Temporal Matrix Completion

no code implementations • 20 Jan 2022 • Charul Paliwal, Pravesh Biyani, Ketan Rajawat

We evaluate the proposed Variational Bayesian Filtering with Subspace Information (VBFSI) method to impute matrices in real-world traffic and air pollution data.

Imputation Low-Rank Matrix Completion

Dense Air Quality Maps Using Regressive Facility Location Based Drive By Sensing

no code implementations • 20 Jan 2022 • Charul Paliwal, Pravesh Biyani

Dense spatiotemporal coverage can be achieved using only a fraction of static sensors by deploying them on the moving vehicles, known as the drive by sensing paradigm.

Imputation Matrix Completion