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» Approximate algorithms for neural-Bayesian approaches
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WAIM
2010
Springer
14 years 8 months ago
Hotspot District Trajectory Prediction
Trajectory prediction (TP) of moving objects has grown rapidly to be a new exciting paradigm. However, existing prediction algorithms mainly employ kinematical models to approximat...
Hongjun Li, Changjie Tang, Shaojie Qiao, Yue Wang,...
CGF
1998
116views more  CGF 1998»
14 years 9 months ago
A Light Hierarchy for Fast Rendering of Scenes with Many Lights
We introduce a new data structure in the form of a light hierarchy for efficiently ray-tracing scenes with many light sources. An octree is constructed with the point light sourc...
Eric Paquette, Pierre Poulin, George Drettakis
CORR
2010
Springer
107views Education» more  CORR 2010»
14 years 8 months ago
Distributed Detection over Time Varying Networks: Large Deviations Analysis
—We apply large deviations theory to study asymptotic performance of running consensus distributed detection in sensor networks. Running consensus is a stochastic approximation t...
Dragana Bajovic, Dusan Jakovetic, João Xavi...
ICRA
2010
IEEE
126views Robotics» more  ICRA 2010»
14 years 8 months ago
Simulation-based LQR-trees with input and state constraints
— We present an algorithm that probabilistically covers a bounded region of the state space of a nonlinear system with a sparse tree of feedback stabilized trajectories leading t...
Philipp Reist, Russ Tedrake
ICIP
2010
IEEE
14 years 7 months ago
High quality scanned book compression using pattern matching
This paper proposes a hybrid approximate pattern matching/ transform-based compression engine. The idea is to use regular video interframe prediction as a pattern matching algorit...
Alexandre Zaghetto, Ricardo L. de Queiroz