K-means is a widely used partitional clustering method. A large amount of effort has been made on finding better proximity (distance) functions for K-means. However, the common c...
Delivering “relevant” advertisements to consumers carrying mobile devices is regarded by many as one of the most promising mobile business opportunities. The relevance of a mo...
Abstract— The study of protocol behavior and traffic characteristics in a simulated environment is commonly supported by ad-hoc or general purpose simulators (e.g., Opnet, NS-2)...
Abstract—The success of swarming content delivery has motivated a new approach to live Peer-to-Peer (P2P) streaming that we call mesh-based streaming. In this approach, participa...
— This paper presents a new technique for the update of a probabilistic spatial occupancy grid map using a forward sensor model. Unlike currently popular inverse sensor models, f...
Kaustubh Pathak, Andreas Birk 0002, Jann Poppinga,...