This paper describes an efficient reduction of the learning problem of ranking to binary classification. The reduction guarantees an average pairwise misranking regret of at most t...
This paper introduces a method of enhancing an unattended ground sensor (UGS) system’s classification capability of humans via seismic signatures while subsequently discriminati...
Recently, the Internet revolutionized many activities from entertainment to marketing and business. Two key underlying Internet technologies, efficient data delivery and hypertext...
Abstract. Reliably extracting information from aerial imagery is a difficult problem with many practical applications. One specific case of this problem is the task of automatica...
The success of any Bayesian particle filtering based tracker relies heavily on the ability of the likelihood function to discriminate between the state that fits the image well an...