Visual object tracking can be considered as a figure-ground classification task. In this paper, different features are used to generate a set of likelihood maps for each pixel i...
We have implemented an information flow framework for the Java Virtual Machine that combines static and dynamic techniques to capture not only explicit flows, but also implicit ...
Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...
Combining multiple clusterings arises in various important data mining scenarios. However, finding a consensus clustering from multiple clusterings is a challenging task because ...
This paper¢ presents an authorization framework for supporting fine-grained access control policies enhanced with light-weight intrusion/misuse detectors and response capabiliti...