102 search results - page 5 / 21 » Machine reasoning about anomalous sensor data |
IROS
2009
IEEE
15 years 4 months ago
2009
IEEE
— Autonomous systems situated in the real world often need to recognize, track, and reason about various types of physical objects. In order to allow reasoning at a symbolic leve...
AINA
2010
IEEE
15 years 2 months ago
2010
IEEE
Abstract—We describe a Bayesian formalism for the intelligent selection of observations from sensor networks that may intermittently undergo faults or changepoints. Such active d...
IPSN
2010
Springer
15 years 4 months ago
2010
Springer
This paper develops algorithms to train linear support vector machines (SVMs) when training data are distributed across different nodes and their communication to a centralized no...
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DSN
2005
IEEE
15 years 3 months ago
2005
IEEE
Since sensor data gathering is the primary functionality of sensor networks, it is important to provide a fault tolerant method for reasoning about sensed events in the face of ar...
JSW
2008
14 years 9 months ago
2008
Increasing traffic density enforces development of Advanced Driver Assistance Systems to cope with safety aspects. Such systems require serious amount of sensor data to deduce spat...