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» The State Problem for Evolutionary Testing
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CVPR
2009
IEEE
15 years 2 months ago
StaRSaC: Stable Random Sample Consensus for Parameter Estimation
We address the problem of parameter estimation in presence of both uncertainty and outlier noise. This is a common occurrence in computer vision: feature localization is perform...
Jongmoo Choi, Gérard G. Medioni
CVPR
2001
IEEE
14 years 9 months ago
3D Biplanar Reconstruction of Scoliotic Vertebrae Using Statistical Models
This paper presents a new 3D reconstruction method of the scoliotic vertebrae of a spine, using two conventional radiographic views (postero-anterior and lateral), and a global pr...
Said Benameur, Max Mignotte, Stefan Parent, Hubert...
ICCV
2007
IEEE
14 years 9 months ago
Robust Visual Tracking Based on Incremental Tensor Subspace Learning
Most existing subspace analysis-based tracking algorithms utilize a flattened vector to represent a target, resulting in a high dimensional data learning problem. Recently, subspa...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, ...
ICCV
2007
IEEE
14 years 9 months ago
Image Classification using Random Forests and Ferns
We explore the problem of classifying images by the object categories they contain in the case of a large number of object categories. To this end we combine three ingredients: (i...
Andrew Zisserman, Anna Bosch, Xavier Muñoz
ICIP
2003
IEEE
14 years 9 months ago
A hierarchical statistical modeling approach for the unsupervised 3D reconstruction of the scoliotic spine
In this paper, we propose a new and accurate 3D reconstruction technique for the scoliotic spine from a pair planar and conventional radiographic images (postero-anterior and late...
Said Benameur, Max Mignotte, Stefan Parent, Hubert...