We present a system for summarization and interactive exploration of high-valued aggregate query answers to make a large set of possible answers more informative to the user. Our system outputs a set of clusters on the high-valued query answers showing their common properties such that the clusters are diverse as much as possible to avoid repeating information, and cover a certain number of top original answers as indicated by the user.
Reasoning about 3D objects is one of the most critical perception problems robots face; outside of navigation, most interactions between a robot and its environment are object-centric. Object-centric robot perception has long relied on maintaining an explicit database of 3D object models with the assumption that encountered objects will be exact copies of entries in the database; however, as robots move into unstructured environments such as human homes, the variation of encountered objects increases and maintaining an explicit object database becomes infeasible.
InDuke TechConnect brings students and employers together for networking and education. Each year, employers connect with Engineering and Computer Science students in an open, dynamic networking environment. Students come prepared with resumes to meet industry and tech representatives to learn about employment opportunities available, the characteristics employers seek as well as a realistic and insightful view of the job market and career paths for students interested in engineering and technical careers.
Hosted at Duke University and bringing together researchers, students and industry labs for a day of technical talks and posters in the broad areas of privacy, security, cryptography, and blockchains, the first-ever Triangle Area Privacy and Security Day (TAPS) is modeled after similar events occurring in Boston, DC and New York. The program will feature technical talks and a poster session.