Transfer learning proves to be effective for leveraging labeled data in the source domain to build an accurate classifier in the target domain. The basic assumption behind transf...
Mingsheng Long, Jianmin Wang 0001, Guiguang Ding, ...
Compressed sensing (CS) is a new technique for simultaneous data sampling and compression. In this paper, we propose and study block compressed sensing for natural images, where i...
Autostereoscopic displays are a subject of recent research efforts in Computer Graphics. Such displays have to be fed graphics information in order to produce spatial images. This...
The proliferation of database-driven web sites (or web-databases) has brought upon a plethora of applications where both Quality of Service (QoS) and Quality of Data (QoD) are of ...
We consider extending decision support facilities toward large sophisticated networks, upon which multidimensional attributes are associated with network entities, thereby forming...