In this paper we present a novel strategy, DragPushing, for improving the performance of text classifiers. The strategy is generic and takes advantage of training errors to succes...
Songbo Tan, Xueqi Cheng, Moustafa Ghanem, Bin Wang...
One of the important challenges facing music information retrieval (MIR) of audio signals is scaling analysis algorithms to large collections. Typically, analysis of audio signals...
Recent years have witnessed an explosion in the availability of news articles on the World Wide Web. Although searchengines’ algorithms have made it easier to locate these docum...
The goal of collaborative filtering is to make recommendations for a test user by utilizing the rating information of users who share interests similar to the test user. Because r...
Document clustering has long been an important problem in information retrieval. In this paper, we present a new clustering algorithm ASI1, which uses explicitly modeling of the s...