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» Minimization of an M-convex Function
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JMLR
2010
101views more  JMLR 2010»
13 years 4 months ago
Classification Using Geometric Level Sets
A variational level set method is developed for the supervised classification problem. Nonlinear classifier decision boundaries are obtained by minimizing an energy functional tha...
Kush R. Varshney, Alan S. Willsky
WG
1993
Springer
14 years 1 months ago
Graphs, Hypergraphs and Hashing
Minimal perfect hash functions are used for memory efficient storage and fast retrieval of items from static sets. We present an infinite family of efficient and practical algori...
George Havas, Bohdan S. Majewski, Nicholas C. Worm...
CVPR
2005
IEEE
14 years 11 months ago
Level Set Based Shape Prior Segmentation
We propose a level set based variational approach that incorporates shape priors into Chan-Vese's model [3] for the shape prior segmentation problem. In our model, besides th...
Tony F. Chan, Wei Zhu
ICCV
2007
IEEE
14 years 11 months ago
Applications of parametric maxflow in computer vision
The maximum flow algorithm for minimizing energy functions of binary variables has become a standard tool in computer vision. In many cases, unary costs of the energy depend linea...
Vladimir Kolmogorov, Yuri Boykov, Carsten Rother
ICCV
2003
IEEE
14 years 11 months ago
Shape Gradients for Histogram Segmentation using Active Contours
We consider the problem of image segmentation using active contours through the minimization of an energy criterion involving both region and boundary functionals. These functiona...
Stéphanie Jehan-Besson, Michel Barlaud, Gil...