To meet performance requirements as well as constraints on cost and power consumption, future embedded systems will be designed with multi-core processors. However, the question o...
Mobile is becoming a ubiquitous platform for context-aware intelligent computing. One fundamental but usually ignored issue is how to efficiently manage (e.g., index and query) the...
Yuan Zhang, Ning Zhang, Jie Tang, Jinghai Rao, Wen...
We propose using multi-layer multiple instance learning (MMIL) for image set classification and applying it to the task of cannabis website classification. We treat each image as a...
Web information is increasingly used as evidence in solving various problems, including record matching. However, acquiring web-based resources is slow and can incur other access c...
We design algorithms for computing approximately revenue-maximizing sequential postedpricing mechanisms (SPM) in K-unit auctions, in a standard Bayesian model. A seller has K copi...