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» Learning to Track with Multiple Observers
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COLT
2007
Springer
13 years 11 months ago
Resampling-Based Confidence Regions and Multiple Tests for a Correlated Random Vector
We study generalized bootstrapped confidence regions for the mean of a random vector whose coordinates have an unknown dependence structure, with a non-asymptotic control of the co...
Sylvain Arlot, Gilles Blanchard, Étienne Ro...
KDD
2005
ACM
178views Data Mining» more  KDD 2005»
14 years 1 months ago
Failure detection and localization in component based systems by online tracking
The increasing complexity of today’s systems makes fast and accurate failure detection essential for their use in mission-critical applications. Various monitoring methods provi...
Haifeng Chen, Guofei Jiang, Cristian Ungureanu, Ke...
ECCV
2006
Springer
14 years 9 months ago
Tracking Dynamic Near-Regular Texture Under Occlusion and Rapid Movements
We present a dynamic near-regular texture (NRT) tracking algorithm nested in a lattice-based Markov-Random-Field (MRF) model of a 3D spatiotemporal space. One basic observation use...
Wen-Chieh Lin, Yanxi Liu
JNW
2008
87views more  JNW 2008»
13 years 7 months ago
Multi-target Data Aggregation and Tracking in Wireless Sensor Networks
This paper presents the results of a study on the effects of data aggregation for multi-target tracking in wireless sensor networks. Wireless sensor networks are normally limited i...
Maarten Ditzel, Caspar Lageweg, Johan Janssen, Arn...
ICRA
2008
IEEE
131views Robotics» more  ICRA 2008»
14 years 2 months ago
Person tracking on a mobile robot with heterogeneous inter-characteristic feedback
— For a mobile robot that interacts with humans such as a home assistant or a tour guide robot, tracking a particular person among multiple persons is a fundamental, yet challeng...
Juhyun Lee, Peter Stone