In this paper we propose an optimal and robust correlation technique for the local motion estimation purposes. It is based on the maximization of a statistical robust matching fun...
Fedwa Essannouni, Rachid Oulad Haj Thami, Ahmed Sa...
This paper presents mathematical programming techniques for solving a class of multi-sensor scheduling problems. Robust optimization problems are formulated for both deterministic ...
Nikita Boyko, Timofey Turko, Vladimir Boginski, Da...
: Speaker recognition in applications of our daily lives is not yet in widespread use. In order for biometric technology to make sense for real-world authentication applications an...
Spectral clustering and path-based clustering are two recently developed clustering approaches that have delivered impressive results in a number of challenging clustering tasks. ...
In this paper we propose a novel finite-horizon, discrete-time, time-varying filtering method based on the robust semidefinite programming (SDP) technique. The proposed method prov...
Lingjie Li, Zhi-Quan Luo, Timothy N. Davidson, Kon...