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» Using Data Mining to Estimate Missing Sensor Data
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ICDM
2008
IEEE
179views Data Mining» more  ICDM 2008»
15 years 3 months ago
Detection and Exploration of Outlier Regions in Sensor Data Streams
Sensor networks play an important role in applications concerned with environmental monitoring, disaster management, and policy making. Effective and flexible techniques are need...
Conny Franke, Michael Gertz
ICIAP
2005
ACM
15 years 9 months ago
3D Surface Reconstruction from Scattered Data Using Moving Least Square Method
This paper presents an efficient implementation of moving least square(MLS) approximation for 3D surface reconstruction. The smoothness of the MLS is mainly determined by the weigh...
Soon-Jeong Ahn, Jaechil Yoo, Byung-Gook Lee, Joon-...
ICRA
1998
IEEE
148views Robotics» more  ICRA 1998»
15 years 1 months ago
Position Estimation Using Principal Components of Range Data
1 sensors is to construct a structural description from sensor data and to match this description to a previously acquired model [Crowley 85]. An alternative is to project individu...
James L. Crowley, Frank Wallner, Bernt Schiele
WISES
2008
14 years 11 months ago
Fusion of heterogeneous sensors data
A configuration with heterogeneous sensors using different measurement approaches most likely overcome the problem of correlated measurement errors as they occur when employing a ...
Wilfried Elmenreich, Robert Leidenfrost
GECCO
2007
Springer
215views Optimization» more  GECCO 2007»
15 years 3 months ago
Estimating the spectral sensitivity of a digital sensor using calibration targets
A digital sensor which is used inside a digital camera usually responds to a range of wavelengths. The response of the sensor is proportional to the product of the irradiance fall...
Marc Ebner