We present a reinforcement learning architecture, Dyna-2, that encompasses both samplebased learning and sample-based search, and that generalises across states during both learni...
Sensor location information is a prerequisite to the utility of most sensor networks. In this paper we present a robust and low-complexity algorithm to self-localize and orient se...
In this paper we focus on using local 3D structure for segmentation. A tensor descriptor is estimated for each neighbourhood, i.e. for each voxel in the data set. The tensors are ...
Carl-Fredrik Westin, Abhir Bhalerao, Ron Kikinis, ...
—This paper presents an approach for the reliability-aware design optimization of real-time systems on multi-processor platforms. The optimization is based on an extension of wel...
Jia Huang, Jan Olaf Blech, Andreas Raabe, Christia...
In an Ultra-wide band (UWB) sensor network signal reflections from objects can be used to accurately determine the location. UWB signals are preferred in these types of sensor ne...