We propose a unified manifold learning framework for semi-supervised and unsupervised dimension reduction by employing a simple but effective linear regression function to map the ...
Feiping Nie, Dong Xu, Ivor Wai-Hung Tsang, Changsh...
Recent efforts in software-defined networks, such as OpenFlow, give unprecedented access into the forwarding plane of networking equipment. When building a network based on OpenFl...
Charalampos Rotsos, Nadi Sarrar, Steve Uhlig, Rob ...
In the last decades, a large family of algorithms supervised or unsupervised; stemming from statistic or geometry theory have been proposed to provide different solutions to the p...
This paper presents a framework for understanding and constructing access methods for versioned data. Records are associated with version ranges in a version tree. A minimal repre...
Betty Salzberg, Linan Jiang, David B. Lomet, Manue...
Proactively providing services to mobile individuals is essential for emerging ubiquitous applications. The major challenge in providing users with proactive services lies in cont...