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ICANN
2001
Springer
15 years 4 months ago
Incremental Support Vector Machine Learning: A Local Approach
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...
Liva Ralaivola, Florence d'Alché-Buc
PERCOM
2010
ACM
15 years 3 months ago
A comparative study of DECT and WLAN signals for indoor localization
—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...
Matthias Kranz, Carl Fischer, Albrecht Schmidt
PERCOM
2007
ACM
14 years 11 months ago
GSM indoor localization
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, ...
IPSN
2004
Springer
15 years 5 months ago
Entropy-based sensor selection heuristic for target localization
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...
ISPDC
2007
IEEE
15 years 6 months ago
Fully Distributed Active and Passive Task Management for Grid Computing
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...
Alain Bui, Olivier Flauzac, Cyril Rabat