In supervised learning, a training set consisting of labeled instances is used by a learning algorithm for generating a model (classifier) that is subsequently employed for decidi...
With recent advances in wireless communication and position technologies, it became possible to collect and record trajectories of moving objects. Thus, many services in road netw...
Xu Jianqiu, Victor Teixeira de Almeida, Qin Xiaoli...
An important research issue in multimedia databases is the retrieval of similar objects. For most applications in multimedia databases, an exact search is not meaningful. Thus, mu...
This paper introduces a novel type of query, what we name Spatio-temporal Pattern Queries (STP). Such a query specifies a spatiotemporal pattern as a sequence of distinct spatial...
Marios Hadjieleftheriou, George Kollios, Petko Bak...
In this paper, we propose a novel non-parametric clustering method based on non-parametric local shrinking. Each data point is transformed in such a way that it moves a specific ...