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...
Abstract. In depth map generation, the settings of the algorithm parameters to yield an accurate disparity estimation are usually chosen empirically or based on unplanned experimen...
A fundamental problem related to RDF query processing is selectivity estimation, which is crucial to query optimization for determining a join order of RDF triple patterns. In thi...
The past few years have experienced an explosive growth in scientific and regulatory documents related to the patent system. Relevant information is siloed into many heterogeneous...
Siddharth Taduri, Gloria T. Lau, Kincho H. Law, Ha...
Abstract—Content-Centric Networking is a new communication architecture that rethinks the Internet communication model, designed for point-to-point connections between hosts, and...
Giovanna Carofiglio, Vinicius Gehlen, Diego Perino