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» Tracking Extrema in Dynamic Environments
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INFOCOM
2005
IEEE
14 years 2 months ago
Dynamic node activation in networks of rechargeable sensors
— We consider a network of rechargeable sensors, deployed redundantly in a random sensing environment, and address the problem of how sensor nodes should be activated dynamically...
Koushik Kar, Ananth Krishnamurthy, Neeraj Jaggi
TVCG
1998
143views more  TVCG 1998»
13 years 8 months ago
Calibration-Free Augmented Reality
We describe the design and implementation of a videobasedaugmentedreality system capableof overlayingthreedimensional graphical objects on live video of dynamic environments. The ...
Kiriakos N. Kutulakos, James R. Vallino
ICRA
2002
IEEE
166views Robotics» more  ICRA 2002»
14 years 1 months ago
Real Time Visualization of Robot State with Mobile Virtual Reality
— With the deployment of large, distributed networks of cameras and other sensors, it is becoming necessary to also address the issue of how to effectively present the large vol...
Peter Amstutz, Andrew H. Fagg
MCS
2009
Springer
14 years 1 months ago
Incremental Learning of Variable Rate Concept Drift
We have recently introduced an incremental learning algorithm, Learn++ .NSE, for Non-Stationary Environments, where the data distribution changes over time due to concept drift. Le...
Ryan Elwell, Robi Polikar
SIGGRAPH
2010
ACM
14 years 1 months ago
Optimal feedback control for character animation using an abstract model
Feedback Control for Character Animation Using an Abstract Model Yuting Ye C. Karen Liu Georgia Institute of Technology∗ Real-time adaptation of a motion capture sequence to vir...
Yuting Ye, C. Karen Liu