In this paper, we propose a semi-supervised learning approach for classifying program (bot) generated web search traffic from that of genuine human users. The work is motivated by...
Hongwen Kang, Kuansan Wang, David Soukal, Fritz Be...
In this paper we consider the problem of solving different pose and registration problems under rotational constraints. Traditionally, methods such as the iterative closest point ...
“Is transactional memory useful?” is the question that cannot be answered until we provide substantial applications that can evaluate its capabilities. While existing TM appli...
Vladimir Gajinov, Ferad Zyulkyarov, Osman S. Unsal...
We propose a simple and intuitive cost mechanism which assigns costs for the competitive usage of m resources by n selfish agents. Each agent has an individual demand; demands are...
Marios Mavronicolas, Panagiota N. Panagopoulou, Pa...
In this paper, we propose a formal notion of network security for ad hoc networks. We adopt a probabilistic security framework, that is, security is defined by a polynomially bou...