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CDC
2008
IEEE
112views Control Systems» more  CDC 2008»
14 years 11 months ago
Information fusion strategies from distributed filters in packet-drop networks
Abstract-- In this paper we study different distributed estimation schemes for stochastic discrete time linear systems where the communication between the sensors and the estimatio...
Alessandro Chiuso, Luca Schenato
AAAI
2007
15 years 1 days ago
Learning Large Scale Common Sense Models of Everyday Life
Recent work has shown promise in using large, publicly available, hand-contributed commonsense databases as joint models that can be used to infer human state from day-to-day sens...
William Pentney, Matthai Philipose, Jeff A. Bilmes...
ECAI
2004
Springer
15 years 3 months ago
Towards Efficient Learning of Neural Network Ensembles from Arbitrarily Large Datasets
Advances in data collection technologies allow accumulation of large and high dimensional datasets and provide opportunities for learning high quality classification and regression...
Kang Peng, Zoran Obradovic, Slobodan Vucetic
JFR
2006
88views more  JFR 2006»
14 years 9 months ago
Discovering natural kinds of robot sensory experiences in unstructured environments
We derive categories directly from robot sensor data to address the symbol grounding problem. Unlike model-based approaches where human intuitive correspondences are sought betwee...
Daniel H. Grollman, Odest Chadwicke Jenkins, Frank...
IJSNET
2006
107views more  IJSNET 2006»
14 years 9 months ago
In-network aggregation trade-offs for data collection in wireless sensor networks
This paper explores in-network aggregation as a power-efficient mechanism for collecting data in wireless sensor networks. In particular, we focus on sensor network scenarios wher...
Ignacio Solis, Katia Obraczka