Ranking a set of retrieved documents according to their relevance to a given query has become a popular problem at the intersection of web search, machine learning, and informatio...
In high dimensional data, the general performance of traditional clustering algorithms decreases. This is partly because the similarity criterion used by these algorithms becomes ...
—In this paper, we present a general technique based on Bayesian inference to locate mobiles in cellular networks. We study the problem of localizing users in a cellular network ...
The ratio of two probability density functions is becoming a quantity of interest these days in the machine learning and data mining communities since it can be used for various d...
The goal of a threshold query is to detect all objects whose score exceeds a given threshold. This type of query is used in many settings, such as data mining, event triggering, a...
Guy Sagy, Daniel Keren, Izchak Sharfman, Assaf Sch...