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ICDM
2010
IEEE
230views Data Mining» more  ICDM 2010»
13 years 7 months ago
Clustering Large Attributed Graphs: An Efficient Incremental Approach
In recent years, many networks have become available for analysis, including social networks, sensor networks, biological networks, etc. Graph clustering has shown its effectivenes...
Yang Zhou, Hong Cheng, Jeffrey Xu Yu
IJCAI
2007
13 years 10 months ago
Depth Estimation Using Monocular and Stereo Cues
Depth estimation in computer vision and robotics is most commonly done via stereo vision (stereopsis), in which images from two cameras are used to triangulate and estimate distan...
Ashutosh Saxena, Jamie Schulte, Andrew Y. Ng
CORR
2010
Springer
237views Education» more  CORR 2010»
13 years 6 months ago
Featureless 2D-3D Pose Estimation by Minimising an Illumination-Invariant Loss
The problem of identifying the 3D pose of a known object from a given 2D image has important applications in Computer Vision ranging from robotic vision to image analysis. Our pro...
Srimal Jayawardena, Marcus Hutter, Nathan Brewer
CVPR
2010
IEEE
14 years 3 months ago
Putting local features on a Manifold
Local features have proven very useful for recognition. Manifold learning has proven to be a very powerful tool in data analysis. However, manifold learning application for imag...
Marwan Torki and Ahmed Elgammal
CLEAR
2006
Springer
151views Biometrics» more  CLEAR 2006»
14 years 22 days ago
Head Pose Estimation on Low Resolution Images
This paper addresses the problem of estimating head pose over a wide range of angles from low-resolution images. Faces are detected using chrominance-based features. Grey-level nor...
Nicolas Gourier, Jérôme Maisonnasse, ...