We present a framework that retains ambiguity in feature matching to increase the performance of 3D object recognition systems. Whereas previous systems removed ambiguous correspo...
Research into large-scale distributed systems often relies on the use of simulation frameworks in order to bypass the disadvantages of performing experiments on real testbeds. SimG...
Abstract. We consider monitoring and checking formally specified properties in a network. We are addressing the problem of deploying the checkers on different network nodes that ...
Adaptive predictive search (APS), is a learning system framework, which given little initial domain knowledge, increases its decision-making abilities in complex problems domains....
This paper presents a microeconomics-based equilibratory approach to a distributed resource allocation problem in a multi-agent system. In a multi-agent system, each agent has its ...