Department of Materials Science and Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea Graduate School of Semiconductor Materials and Devices ...

Abstract: Kalman filtering is widely used for object tracking applications but often relies on predefined motion models, which limits its adaptability to nonlinear or uncertain trajectories.

Abstract: Existing periodic Gaussian process (PGP) modeling methods rely on the regularly-spaced-signal assumption (i.e., signals are evenly spaced) and the integer-period assumption for the sake of ...

In multi-output regression (multi-target, multi-variate, or multi-response regression), we aim to predict multiple real valued output variables. One simple approach may be using combination of single ...