Abstract. In this paper, we propose and study a new on-line algorithm for learning a SVM based on Radial Basis Function Kernel: Local Incremental Learning of SVM or LISVM. Our meth...
—While there is more to context than location, localization and positioning must continue to be improved. Location-aware applications, such as Google Latitude, are enjoying great...
Accurate indoor localization has long been an objective of the ubiquitous computing research community, and numerous indoor localization solutions based on 802.11, Bluetooth, ultra...
Alex Varshavsky, Eyal de Lara, Jeffrey Hightower, ...
We propose an entropy-based sensor selection heuristic for localization. Given 1) a prior probability distribution of the target location, and 2) the locations and the sensing mod...
Hanbiao Wang, Kung Yao, Gregory J. Pottie, Deborah...
The task management is a key point in grid applications and can highly influence their efficiency. There are many solutions that we can classify according to their centralizatio...