Boosting based detection methods have successfully been used for robust detection of faces and pedestrians. However, a very large amount of labeled examples are required for train...
Abstract. In this paper we describe ImageCLEF1, the cross language image retrieval track of the Cross Language Evaluation Forum (CLEF3). We instigated and ran a pilot experiment in...
ImageCLEF’s Wikipedia Image Retrieval task provides a testbed for the system-oriented evaluation of multimedia and multilingual information retrieval from a collection of Wikiped...
In this paper, we develop a general classification framework called Kullback-Leibler Boosting, or KLBoosting. KLBoosting has following properties. First, classification is based o...
In this paper, we propose a Boosted Interactively Distributed Particle Filter (BIDPF) to address the problem of automatic multi-object tracking in the application of player tracki...