We introduce a new definition of privacy called crowd-blending privacy that strictly relaxes the notion of differential privacy. Roughly speaking, k-crowd blending private saniti...
Johannes Gehrke, Michael Hay, Edward Lui, Rafael P...
Supervoxel segmentation has strong potential to be incorporated into early video analysis as superpixel segmentation has in image analysis. However, there are many plausible super...
Aspect extraction is a central problem in sentiment analysis. Current methods either extract aspects without categorizing them, or extract and categorize them using unsupervised t...
In this paper we review the history of systems for managing “Big Data” as well as today’s activities and architectures from the (perhaps biased) perspective of three “data...
We study an extension of the "standard" learning models to settings where observing the value of an attribute has an associated cost (which might be different for differ...