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» Shape Priors using Manifold Learning Techniques
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PAMI
2006
358views more  PAMI 2006»
15 years 1 months ago
Recovering 3D Human Pose from Monocular Images
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pri...
Ankur Agarwal, Bill Triggs
ICPR
2010
IEEE
15 years 25 days ago
Data-Driven Lung Nodule Models for Robust Nodule Detection in Chest CT
The quality of the lung nodule models determines the success of lung nodule detection. This paper describes aspects of our data-driven approach for modeling lung nodules using the...
Amal Farag, James Graham, Aly A. Farag
123
Voted
ECCV
2010
Springer
15 years 7 months ago
Automatic Attribute Discovery and Characterization
It is common to use domain specific terminology – attributes – to describe the visual appearance of objects. In order to scale the use of these describable visual attributes t...
119
Voted
CVPR
2006
IEEE
15 years 8 months ago
Perceptually-Inspired and Edge-Directed Color Image Super-Resolution
Inspired by multi-scale tensor voting, a computational framework for perceptual grouping and segmentation, we propose an edge-directed technique for color image superresolution gi...
Yu-Wing Tai, Wai-Shun Tong, Chi-Keung Tang
IJCNN
2008
IEEE
15 years 8 months ago
Kernel methods for fMRI pattern prediction
Abstract— In this paper, we present an effective computational approach for learning patterns of brain activity from the fMRI data. The procedure involved correcting motion artif...
Yizhao Ni, Carlton Chu, Craig J. Saunders, John As...