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» Globally optimal segmentation of multi-region objects
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CVPR
2008
IEEE
1042views Computer Vision» more  CVPR 2008»
15 years 23 days ago
Graph cut based image segmentation with connectivity priors
Graph cut is a popular technique for interactive image segmentation. However, it has certain shortcomings. In particular, graph cut has problems with segmenting thin elongated obj...
Sara Vicente, Vladimir Kolmogorov, Carsten Rother
PAMI
2010
225views more  PAMI 2010»
13 years 5 months ago
Semi-Supervised Classification via Local Spline Regression
Abstract--This paper presents local spline regression for semisupervised classification. The core idea in our approach is to introduce splines developed in Sobolev space to map the...
Shiming Xiang, Feiping Nie, Changshui Zhang
MICCAI
2005
Springer
14 years 11 months ago
Cross Entropy: A New Solver for Markov Random Field Modeling and Applications to Medical Image Segmentation
This paper introduces a novel solver, namely cross entropy (CE), into the MRF theory for medical image segmentation. The solver, which is based on the theory of rare event simulati...
Jue Wu, Albert C. S. Chung
CGF
2005
170views more  CGF 2005»
13 years 10 months ago
Structure Recovery via Hybrid Variational Surface Approximation
Aiming at robust surface structure recovery, we extend the powerful optimization technique of variational shape approximation by allowing for several different primitives to repre...
Jianhua Wu, Leif Kobbelt
BMVC
2010
13 years 8 months ago
StyP-Boost: A Bilinear Boosting Algorithm for Learning Style-Parameterized Classifiers
We introduce a novel bilinear boosting algorithm, which extends the multi-class boosting framework of JointBoost to optimize a bilinear objective function. This allows style param...
Jonathan Warrell, Philip H. S. Torr, Simon Prince