Hitherto, the major challenge to sign language recognition is how to develop approaches that scale well with increasing vocabulary size. In this paper we present an approach to la...
This paper centres on the problem of estimating the location of features in the environment within a map building framework for a mobile robot with a single camera. Most of the ex...
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
Over the years, a variety of algorithms for finding frequent sequential patterns in very large sequential databases have been developed. The key feature in most of these algorith...
Current Quality of Service models such as those embodied in the Differentiated Services proposals, rely on data path aggregation to achieve scalability. Data path aggregation bund...