We present an active learning approach to choose image annotation requests among both object category labels and the objects’ attribute labels. The goal is to solicit those labe...
This paper addresses the challenge of recognizing behavior of groups of individuals in unconstraint surveillance environments. As opposed to approaches that rely on agglomerative ...
Abstract. The prediction of diagnosis codes is typically based on freetext entries in clinical documents. Previous attempts to tackle this problem range from strictly rule-based sy...
This tutorial present the key aspects of design challenges and its solutions that are being experienced in VLSI design in the era of nano technology. The focus will be on design c...
This work addresses the problem of application mapping in networks-on-chip (NoCs). It explores the importance of characterizing network traffic to effectively predict NoC energy c...