This work seeks to strengthen interaction within a research community through a centrally-located physical device that presents online presence information in a semi-public space....
Many innovative e-business ideas are hardly understood by their stakeholders when articulated just by words. To create a better, also shared, understanding, and to enhance confid...
Abstract. In this paper, we propose and study a new on-line algorithm for learning a SVM based on Radial Basis Function Kernel: Local Incremental Learning of SVM or LISVM. Our meth...
We propose an online algorithm based on local sparse representation for robust object tracking. Local image patches of a target object are represented by their sparse codes with a...
We propose a novel approach to designing algorithms for
object tracking based on fusing multiple observation models.
As the space of possible observation models is too large
for...