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167
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NIPS
2008
15 years 8 months ago
2008
The stochastic approximation method is behind the solution to many important, actively-studied problems in machine learning. Despite its farreaching application, there is almost n...
167
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ICCV
2009
IEEE
15 years 4 months ago
2009
IEEE
Many segmentation problems in medical imaging rely on accurate modeling and estimation of tissue intensity probability density functions. Gaussian mixture modeling, currently the ...
187
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CVPR
2011
IEEE
15 years 1 months ago
2011
IEEE
We present a novel probabilistic framework for rigid tracking and segmentation of shapes observed from multiple cameras. Most existing methods have focused on solving each of thes...
185
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CVPR
2012
IEEE
13 years 9 months ago
2012
IEEE
This paper is aimed at calibrating the relative posture and position, i.e. extrinsic parameters, of a stationary camera against a 3D reference object which is not directly visible...
200
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CVPR
2012
IEEE
13 years 9 months ago
2012
IEEE
Structure from motion (SFM) aims at jointly recovering the structure of a scene as a collection of 3D points and estimating the camera poses from a number of input images. In this...