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» Learning Nonlinear Dynamical Systems Using an EM Algorithm
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CDC
2008
IEEE
217views Control Systems» more  CDC 2008»
14 years 10 months ago
An ensemble Kalman filtering approach to highway traffic estimation using GPS enabled mobile devices
Traffic state estimation is a challenging problem for the transportation community due to the limited deployment of sensing infrastructure. However, recent trends in the mobile pho...
Daniel B. Work, Olli-Pekka Tossavainen, Sebastien ...
MM
2003
ACM
241views Multimedia» more  MM 2003»
15 years 3 months ago
Invariance in motion analysis of videos
In this paper, we propose an approach that retrieves motion of objects from the videos based on the dynamic time warping of view invariant characteristics. The motion is represent...
Cen Rao, Mubarak Shah, Tanveer Fathima Syeda-Mahmo...
IJCAI
2003
14 years 11 months ago
Variable Resolution Particle Filter
Particle filters are used extensively for tracking the state of non-linear dynamic systems. This paper presents a new particle filter that maintains samples in the state space a...
Vandi Verma, Sebastian Thrun, Reid G. Simmons
ANOR
2010
130views more  ANOR 2010»
14 years 7 months ago
Greedy scheduling with custom-made objectives
We present a methodology to automatically generate an online job scheduling method for a custom-made objective and real workloads. The scheduling problem comprises independent para...
Carsten Franke, Joachim Lepping, Uwe Schwiegelshoh...
ICIP
2003
IEEE
15 years 11 months ago
Text to visual synthesis with appearance models
This paper presents a new method named text to visual synthesis with appearance models (TEVISAM) for generating videorealistic talking heads. In a first step, the system learns a ...
Javier Melenchón, Fernando De la Torre, Ign...