Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Abstract— Wireless sensor networks, by providing an unprecedented way of interacting with the physical environment, have become a hot topic for research over the last few years. ...
We introduce the term cosegmentation which denotes the task of segmenting simultaneously the common parts of an image pair. A generative model for cosegmentation is presented. Inf...
Carsten Rother, Thomas P. Minka, Andrew Blake, Vla...
We introduce the notion of opportunistic networks or oppnets, some of which can be considered a subclass of the peer-to-peer (P2P) networks. Initially, a relatively small seed opp...
Needs in the worldwide competition push teams to master more and more their design flow in order to minimize risks, costs, time to market, and potential liabilities. The classical...