Recently, systems providing access to extremely large data collections, managed in a distributed manner, gain emerging attention. A promising approach to implement the physical la...
This paper addresses the problem of simultaneous localization and mapping (SLAM) using vision-based sensing. We present and analyse an implementation of a RaoBlackwellised particl...
Robert Sim, Pantelis Elinas, Matt Griffin, Alex Sh...
Data aggregation is a fundamental building block of modern distributed systems. Averaging based approaches, commonly designated gossip-based, are an important class of aggregation ...
The first mass-produced pervasive computing devices are starting to appear—the AutoPC, the Internet-connected ScreenFridge, and the combination Microwave Oven/Home Banking term...
Andrew C. Huang, Benjamin C. Ling, Shankar Ponneka...
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...