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ISVC
2010
Springer
15 years 5 months ago
Split Bregman Method for Minimization of Region-Scalable Fitting Energy for Image Segmentation
Abstract. In this paper, we incorporated the global convex segmentation method and the split Bregman technique into the region-scalable fitting energy model. The new proposed metho...
Yunyun Yang, Chunming Li, Chiu-Yen Kao, Stanley Os...
CVPR
2008
IEEE
16 years 9 months ago
Learning for stereo vision using the structured support vector machine
We present a random field based model for stereo vision with explicit occlusion labeling in a probabilistic framework. The model employs non-parametric cost functions that can be ...
Yunpeng Li, Daniel P. Huttenlocher
CCGRID
2008
IEEE
16 years 1 months ago
Admission Control in a Computational Market
We propose, implement and evaluate three admission models for computational Grids. The models take the expected demand into account and offer a specific performance guarantee. Th...
Thomas Sandholm, Kevin Lai, Scott H. Clearwater
WSC
2008
15 years 9 months ago
On the approximation error in high dimensional model representation
Mathematical models are often described by multivariate functions, which are usually approximated by a sum of lower dimensional functions. A major problem is the approximation err...
Xiaoqun Wang
PAMI
2007
155views more  PAMI 2007»
15 years 6 months ago
Localization of Shapes Using Statistical Models and Stochastic Optimization
—In this paper, we present a new model for deformations of shapes. A pseudolikelihood is based on the statistical distribution of the gradient vector field of the gray level. The...
François Destrempes, Max Mignotte, Jean-Fra...