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Domain-Constrained Semi-Supervised Mining of Tracking Models in Sensor Networks
Published on Aug 14, 20072913 Views
Accurate localization of mobile objects is a major research problem in sensor networks and an important data mining application. Specifically, the localization problem is to determine the location of
Chapter list
Domain-Constrained Semi-Supervised Mining of Tracking Models in Sensor Networks00:02
Signal-Strength-Based Tracking00:12
Application Scenario00:47
Calibration – Labeling Data01:26
Related Works01:58
Conditional Random Fields I02:41
Conditional Random Fields II03:56
Partially labeled Conditional Random Fields04:12
Some Details04:53
Test-bed Setup04:57
Convergence of Semi-CRF05:20
Semi-CRF vs. Baselines05:43
Impact of Grid Sizes05:59
Conclusion & Future Works06:04