The varying object appearance and unlabeled data from new frames are always the challenging problem in object tracking. Recently machine learning methods are widely applied to tra...
Network virtualization is a paradigm that allows for flexible and efficient allocation of the resources among multiple virtual networks (VNets). In this paper we deal with the p...
Guy Even, Moti Medina, Gregor Schaffrath, Stefan S...
Given a set of users, their friend relationships, and a distance threshold per friend pair, the proximity detection problem is to find each pair of friends such that the Euclidean...
Man Lung Yiu, Leong Hou U, Simonas Saltenis, Kosta...
We call data weakly labeled if it has no exact label but rather a numerical indication of correctness of the label "guessed" by the learning algorithm - a situation comm...
Change-point detection is the problem of discovering time points at which properties of time-series data change. This covers a broad range of real-world problems and has been acti...