Collaborative filtering is a popular technique for recommending items to people. Several methods for collaborative filtering have been proposed in the literature and the quality o...
Rapid growth in the amount of data available on social networking sites has made information retrieval increasingly challenging for users. In this paper, we propose a collaborativ...
—Bloom filters allow membership queries over sets with allowable errors. It is widely used in databases, networks and distributed systems and it has great potential for distribut...
Kun Xie, Yinghua Min, Dafang Zhang, Jigang Wen, Ga...
Image filtering is the use of computer graphics algorithms to enhance the quality of digital images or to extract information about their content. However rendering very large siz...
Christian Vecchiola, Krishna Nadiminti, Rajkumar B...
Abstract--In this paper, we consider a novel problem referred to as term filtering with bounded error to reduce the term (feature) space by eliminating terms without (or with bound...