Devices such as smartphones and tablets have spurred interest in off-the-person
electrocardiogram (ECG) biometric recognition. While the advantage of using multi-feature …

Low-rank plus sparse matrix decomposition (LSD) is an important problem in computer
vision and machine learning. It has been solved using convex relaxations of the matrix rank …

Model generalizability to unseen datasets, concerned with in-the-wild robustness, is less
studied for indoor single-image depth prediction. We leverage gradient-based meta-learning …