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JMLR
2012
13 years 9 months ago
SpeedBoost: Anytime Prediction with Uniform Near-Optimality
We present SpeedBoost, a natural extension of functional gradient descent, for learning anytime predictors, which automatically trade computation time for predictive accuracy by s...
Alexander Grubb, Drew Bagnell
189
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CVPR
2006
IEEE
16 years 9 months ago
On Manifold Structure of Cardiac MRI Data: Application to Segmentation
We develop theory and algorithms to incorporate image manifold constraints in a level set segmentation algorithm. This provides a framework to simultaneously segment every image o...
Qilong Zhang, Richard Souvenir, Robert Pless
CVPR
2007
IEEE
16 years 9 months ago
Global Optimization for Shape Fitting
We propose a global optimization framework for 3D shape reconstruction from sparse noisy 3D measurements frequently encountered in range scanning, sparse featurebased stereo, and ...
Victor S. Lempitsky, Yuri Boykov
CVPR
2008
IEEE
16 years 9 months ago
Real-time 3D segmentation of the left ventricle using deformable subdivision surfaces
In this paper, we extend a computationally efficient framework for real-time 3D tracking and segmentation to support deformable subdivision surfaces. Segmentation is performed in a...
Fredrik Orderud, Stein I. Rabben
CVPR
2008
IEEE
16 years 9 months ago
Interactive image segmentation via minimization of quadratic energies on directed graphs
We propose a scheme to introduce directionality in the Random Walker algorithm for image segmentation. In particular, we extend the optimization framework of this algorithm to com...
Dheeraj Singaraju, Leo Grady, René Vidal