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» Robust Algorithms for Object Localization
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139
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ICMLA
2010
15 years 8 days ago
Ensembles of Neural Networks for Robust Reinforcement Learning
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
Alexander Hans, Steffen Udluft
RSS
2007
147views Robotics» more  RSS 2007»
15 years 3 months ago
Composition of Vector Fields for Multi-Robot Manipulation via Caging
Abstract— This paper describes a novel approach for multirobot caging and manipulation, which relies on the team of robots forming patterns that trap the object to be manipulated...
Jonathan Fink, Nathan Michael, Vijay Kumar
GRAPP
2007
15 years 3 months ago
Fitting 3D morphable models using implicit representations
We consider the problem of approximating the 3D scan of a real object through an affine combination of examples. Common approaches depend either on the explicit estimation of poi...
Curzio Basso, Alessandro Verri
103
Voted
ICCV
2005
IEEE
16 years 4 months ago
On-Line Density-Based Appearance Modeling for Object Tracking
Object tracking is a challenging problems in real-time computer vision due to variations of lighting condition, pose, scale, and view-point over time. However, it is exceptionally...
Bohyung Han, Larry S. Davis
ICPR
2006
IEEE
16 years 3 months ago
Multiple Objects Tracking with Multiple Hypotheses Graph Representation
We present a novel multi-object tracking algorithm based on multiple hypotheses about the trajectories of the objects. Our work is inspired by Reid's multiple hypothesis trac...
Alex Yong Sang Chia, Liyuan Li, Weimin Huang