Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined ...
William Pentney, Matthai Philipose, Jeff A. Bilmes
We propose to use a multi-camera rig for simultaneous localization and mapping (SLAM), providing flexibility in sensor placement on mobile robot platforms while exploiting the str...
Landscape Architecture projects have many specific requirements such as particular multimedia and geographic data integration and structure, information preview, userfriendly inte...
Efficient access to distributed and dynamic multidimensional data is vital for applications in large, heterogeneous, decentralised, resource-sharing environments such as Grids an...
We use graphical models to explore the question of how people learn simple causal relationships from data. The two leading psychological theories can both be seen as estimating th...