We study how to best use crowdsourced relevance judgments learning to rank [1, 7]. We integrate two lines of prior work: unreliable crowd-based binary annotation for binary classi...
With nearly one billion online videos viewed everyday, an emerging new frontier in computer vision research is recognition and search in video. While much effort has been devoted ...
We present BloomUnit, a testing framework for distributed programs written in the Bloom language. BloomUnit allows developers to write declarative test specifications that descri...
Peter Alvaro, Andrew Hutchinson, Neil Conway, Will...
Most existing research about online trust assumes static trust relations between users. As we are informed by social sciences, trust evolves as humans interact. Little work exists...
Jiliang Tang, Huan Liu, Huiji Gao, Atish Das Sarma...
—The Reeb graph of a scalar function represents the evolution of the topology of its level sets. This paper describes a near-optimal output-sensitive algorithm for computing the ...