In this paper, a novel subspace learning method, semi-supervised marginal discriminant analysis (SMDA), is proposed for classification. SMDA aims at maintaining the intrinsic neig...
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...
Run-time monitoring can provide important insights about a program’s behavior and, for simple properties, it can be done efficiently. Monitoring properties describing sequences...
Matthew B. Dwyer, Madeline Diep, Sebastian G. Elba...
The movement in public transport networks is organized according to schedules. The real-world schedules are specified by a set of periodic rules and a number of irregularities fr...
Several matching algorithms were recently developed in order to automate or semi-automate the process of correspondences discovery between XML schemas. These algorithms use a wide...