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» Extremal Optimization: Methods derived from Co-Evolution
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CVPR
2009
IEEE
14 years 3 months ago
On bias correction for geometric parameter estimation in computer vision
Maximum likelihood (ML) estimation is widely used in many computer vision problems involving the estimation of geometric parameters, from conic fitting to bundle adjustment for s...
Takayuki Okatani, Koichiro Deguchi
CDC
2008
IEEE
126views Control Systems» more  CDC 2008»
14 years 3 months ago
Design of robust decentralized controllers for drag-free satellite
Abstract— In this paper the problem of designing a decentralized robust controller for a plant describing a dragfree satellite is addressed. From recent experiences in dragfree c...
Lorenzo Pettazzi, Alexander Lanzon, Stephan Theil
ACCV
2007
Springer
14 years 2 months ago
Simultaneous Appearance Modeling and Segmentation for Matching People Under Occlusion
We describe an approach to segmenting foreground regions corresponding to a group of people into individual humans. Given background subtraction and ground plane homography, hierar...
Zhe Lin, Larry S. Davis, David S. Doermann, Daniel...
ECML
2007
Springer
14 years 2 months ago
Scale-Space Based Weak Regressors for Boosting
Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...
Jin Hyeong Park, Chandan K. Reddy
IPSN
2005
Springer
14 years 2 months ago
Tracking on a graph
Abstract— This paper considers the problem of tracking objects with sparsely located binary sensors. Tracking with a sensor network is a challenging task due to the inaccuracy of...
Songhwai Oh, Shankar Sastry