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» The GLOBAL optimization method revisited
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IJCV
2011
180views more  IJCV 2011»
13 years 2 months ago
Global Minimization for Continuous Multiphase Partitioning Problems Using a Dual Approach
This paper is devoted to the optimization problem of continuous multipartitioning, or multi-labeling, which is based on a convex relaxation of the continuous Potts model. In contr...
Egil Bae, Jing Yuan, Xue-Cheng Tai
AAAI
2007
13 years 10 months ago
Clustering with Local and Global Regularization
Clustering is an old research topic in data mining and machine learning communities. Most of the traditional clustering methods can be categorized local or global ones. In this pa...
Fei Wang, Changshui Zhang, Tao Li
ICCV
2003
IEEE
14 years 9 months ago
Globally Convergent Autocalibration
Existing autocalibration techniques use numerical optimization algorithms that are prone to the problem of local minima. To address this problem, we have developed a method where ...
Arrigo Benedetti, Alessandro Busti, Michela Farenz...
GECCO
2005
Springer
112views Optimization» more  GECCO 2005»
14 years 1 months ago
Two improved differential evolution schemes for faster global search
Differential evolution (DE) is well known as a simple and efficient scheme for global optimization over continuous spaces. In this paper we present two new, improved variants of D...
Swagatam Das, Amit Konar, Uday Kumar Chakraborty
ECCV
1998
Springer
14 years 9 months ago
A Probabilistic Approach to Object Recognition Using Local Photometry and Global Geometry
Many object classes, including human faces, can be modeled as a set of characteristic parts arranged in a variable spatial con guration. We introduce a simpli ed model of a deforma...
Michael C. Burl, Markus Weber, Pietro Perona