In this paper, we study a novel problem Collective Active Learning, in which we aim to select a batch set of "informative" instances from a networking data set to query ...
Traditional information search in which queries are posed against a known and rigid schema over a structured database is shifting towards a Web scenario in which exposed schemas ar...
Direct implementations of bilateral filtering show O(r2 ) computational complexity per pixel, where r is the filter window radius. Several lower complexity methods have been devel...
Wei Yu, Franz Franchetti, James C. Hoe, Yao-Jen Ch...
Video retargeting is the task of fitting standard-sized video into arbitrary screen. A compelling retargeting attempts to preserve most visual information of original video as wel...
Abstract--We explore the idea of applying machine learning techniques to automatically infer risk-adaptive policies to reconfigure a network security architecture when the context ...