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» Robust Algorithms for Object Localization
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ICCV
2009
IEEE
13 years 6 months ago
A robust boosting tracker with minimum error bound in a co-training framework
The varying object appearance and unlabeled data from new frames are always the challenging problem in object tracking. Recently machine learning methods are widely applied to tra...
Rong Liu, Jian Cheng, Hanqing Lu
CVPR
2008
IEEE
14 years 11 months ago
Automatic symmetry plane estimation of bilateral objects in point clouds
In this paper, the problem of estimating automatically the symmetry plane of bilateral objects (having perfect or imperfect mirror symmetry) in point clouds is reexamined. Classic...
Benoît Combès, John Waddington, Neil ...
GECCO
2005
Springer
120views Optimization» more  GECCO 2005»
14 years 2 months ago
Exploiting gradient information in numerical multi--objective evolutionary optimization
Various multi–objective evolutionary algorithms (MOEAs) have obtained promising results on various numerical multi– objective optimization problems. The combination with gradi...
Peter A. N. Bosman, Edwin D. de Jong
CPAIOR
2004
Springer
14 years 2 months ago
Scheduling Abstractions for Local Search
ng Abstractions for Local Search Pascal Van Hentenryck1 and Laurent Michel2 1 Brown University, Box 1910, Providence, RI 02912 2 University of Connecticut, Storrs, CT 06269-3155 Ab...
Pascal Van Hentenryck, Laurent Michel
ICRA
2007
IEEE
180views Robotics» more  ICRA 2007»
14 years 3 months ago
Mobile Sensor Networks Self Localization based on Multi-dimensional Scaling
— In this paper, we define a mobile self-localization (MSL) problem for sparse mobile sensor networks, and propose an algorithm named Mobility Assisted MDS-MAP(P), based on Mult...
Changhua Wu, Weihua Sheng, Ying Zhang