Probabilistic inference algorithms for belief updating, nding the most probable explanation, the maximum a posteriori hypothesis, and the maximum expected utility are reformulated...
Machine learning for predicting user clicks in Webbased search offers automated explanation of user activity. We address click prediction in the Web search scenario by introducing...
Ding Zhou, Levent Bolelli, Jia Li, C. Lee Giles, H...
Recently, privacy issues have become important in clustering analysis, especially when data is horizontally partitioned over several parties. Associative queries are the core retr...
Semistructured data, in particular XML, has emerged as one of the primary means for information exchange and content management. The power of XML allows authors to structure a doc...
In this paper, we present an index structure-based method to fast and robustly search short video clips in large video collections. First we temporally segment a given long video ...