— Most robotic vision algorithms are proposed by envisaging robots operating in structured environments where the world is assumed to be rigid. These algorithms fail to provide o...
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
segmentation of moving regions in outdoor environment under a moving camera is a fundamental step in many vision systems including automated visual surveillance, human-machine int...
The topological properties of a network directly impact the flow of information through a system. In evolving populations, the topology of inter-individual interactions affects th...
— Multihoming has been used by stub networks for several years as a form of redundancy, improving the availability of Internet access. More recently, Intelligent Route Control (I...