102 search results - page 5 / 21 » Machine reasoning about anomalous sensor data |
91
Voted
IROS
2009
IEEE
15 years 6 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 4 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...
98
Voted
IPSN
2010
Springer
15 years 6 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...
120
Voted
DSN
2005
IEEE
15 years 5 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...
103
Voted
JSW
2008
14 years 11 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...