This paper deals with region-of-interest (ROI) segmentation in video sequences. The goal is to determine in one frame the region which best matches, in terms of a similarity measur...
Multiple-instance learning is a variation on supervised learning, where the task is to learn a concept given positive and negative bags of instances. Each bag may contain many ins...
—While transparent WDM optical networks become more and more popular as the basis of the Next Generation Internet (NGI) infrastructure, such networks raise many unique security i...
Jae-Seung Yeom, Ozan K. Tonguz, Gerardo A. Casta&n...
Many real-world classification applications fall into the class of positive and unlabeled (PU) learning problems. In many such applications, not only could the negative training ex...
Many algorithms extract terms from text together with some kind of taxonomic classification (is-a) link. However, the general approaches used today, and specifically the methods o...