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» Robot Localization Using a Computer Vision Sextant
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ICML
2006
IEEE
16 years 3 months ago
Bayesian regression with input noise for high dimensional data
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
120
Voted
ECCV
2000
Springer
16 years 4 months ago
On Utilising Template and Feature-Based Correspondence in Multi-view Appearance Models
In principle, the recovery and reconstruction of a 3D object from its 2D view projections require the parameterisation of its shape structure and surface re ectance properties. Exp...
Sami Romdhani, Alexandra Psarrou, Shaogang Gong
129
Voted
CVPR
2008
IEEE
15 years 4 months ago
Loose shape model for discriminative learning of object categories
We consider the problem of visual categorization with minimal supervision during training. We propose a partbased model that loosely captures structural information. We represent ...
Margarita Osadchy, Elran Morash
ICCV
1999
IEEE
16 years 4 months ago
Projective Alignment with Regions
?We have recently proposed an approach to recognition that uses regions to determine the pose of objects while allowing for partial occlusion of the regions. Regions introduce an a...
Ronen Basri, David W. Jacobs
101
Voted
CVPR
2009
IEEE
15 years 9 months ago
A distribution-based approach to tracking points in velocity vector fields
We address the problem of tracking points in dense vector fields. Such vector fields may come from computational fluid dynamics simulations, environmental monitoring sensors, o...
Liefei Xu, H. Quynh Dinh, Eugene Zhang, Zhongzang ...