1921 search results - page 56 / 385 » Learning from sensor network data |
KI
2007
Springer
15 years 3 months ago
2007
Springer
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract and label a person’s activities and signi...
LREC
2008
14 years 11 months ago
2008
The paper presents two experiments of unsupervised classification of Italian noun phrases. The goal of the experiments is to identify the most prominent contextual properties that...
ICDM
2007
IEEE
15 years 4 months ago
2007
IEEE
Estimating missing sensor values is an inherent problem in sensor network applications; however, existing data estimation approaches do not apply well to the context of datastream...
CVPR
1999
IEEE
15 years 11 months ago
1999
IEEE
This paper presents a framework for integrating multiple sensory data, sparse range data and dense depth maps from shape from shading in order to improve the 3D reconstruction of ...
CIDM
2007
IEEE
15 years 4 months ago
2007
IEEE
— We present K2GA, an algorithm for learning Bayesian network structures from data. K2GA uses a genetic algorithm to perform stochastic search, while employing a modified versio...