Energy consumption of mobile readers is becoming an important issue as applications of RFID systems pervade different aspects of our lives. Surprisingly, however, these systems ar...
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. denite clause programs containing probabilistic facts with a ...
We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...
Real-world databases often contain syntactic and semantic errors, in spite of integrity constraints and other safety measures incorporated into modern DBMSs. We present ERACER, an...
We describe a framework for automatically selecting a summary set of photographs from a large collection of geo-referenced photos. The summary algorithm is based on spatial patter...
Alexander Jaffe, Mor Naaman, Tamir Tassa, Marc Dav...