Relational Database (RDB) provides a promising infra-structure to support graph search. After more than 40 years of development, RDB is mature and stable enough, and plays a key role in information systems. This abstract takes the shortest path discovery to study efficient relational approaches to graph search queries. We first abstract three enhanced relational operators, […]
LOCX: A NOVEL APPROACH FOR PRESERVING LOCATION PRIVACY IN GEOSOCIAL APPLICATIONS
In this abstract, we propose LocX (short for location to index mapping), a novel approach to achieving user privacy while maintaining full accuracy in location-based social applications (LBSAs from here on-ward). Our insight is that many services do not need to resolve distance-based queries between arbitrary pairs of users, but only between friends interested in […]
TRACKING AND ANALYZING THE PUBLIC SENTIMENT VARIATIONS ON TWITTER
In this abstract, we analyze public sentiment variations on Twitter and mine possible reasons behind such variations. To track public sentiment, we combine two state-of-the-art sentiment analysis tools to obtain sentiment information towards interested targets (e.g., “Obama”) in each tweet. Based on the sentiment label obtained for each tweet, we can track the public sentiment […]
PAIRWISE CONSTRAINTS FOR ACCELERATED LEARNING-BASED INTERACTIVE IMAGE SEGMENTATION
Image segmentation refers to the task of grouping image pixels into a meaningful partition such that pixels falling in the same group are similar to each other, and different than those in other groups, in terms of a perceptually meaningful similarity measure. Segmentation often is used as a pre-processing step before higher level image processing […]