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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...
MP
2007
89views more  MP 2007»
13 years 6 months ago
Globally convergent limited memory bundle method for large-scale nonsmooth optimization
Many practical optimization problems involve nonsmooth (that is, not necessarily differentiable) functions of thousands of variables. In the paper [Haarala, Miettinen, M¨akel¨a,...
Napsu Haarala, Kaisa Miettinen, Marko M. Mäke...
AMC
2010
175views more  AMC 2010»
13 years 7 months ago
An inexact parallel splitting augmented Lagrangian method for large system of linear equations
: Parallel iterative methods are powerful tool for solving large system of linear equations (LEs). The existing parallel computing research results are focussed mainly on sparse sy...
Zheng Peng, DongHua Wu
BIOINFORMATICS
2011
13 years 2 months ago
Inverse perturbation for optimal intervention in gene regulatory networks
Motivation: Analysis and intervention in the dynamics of gene regulatory networks is at the heart of emerging efforts in the development of modern treatment of numerous ailments i...
Nidhal Bouaynaya, Roman Shterenberg, Dan Schonfeld
SCALESPACE
2009
Springer
14 years 1 months ago
On Level-Set Type Methods for Recovering Piecewise Constant Solutions of Ill-Posed Problems
We propose a regularization method for solving ill-posed problems, under the assumption that the solutions are piecewise constant functions with unknown level sets and unknown leve...
Adriano DeCezaro, Antonio Leitão, Xue-Cheng...