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» An algorithm for minimizing the Mumford-Shah functional
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ICANN
2009
Springer
14 years 1 months ago
An EM Based Training Algorithm for Recurrent Neural Networks
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
Jan Unkelbach, Yi Sun, Jürgen Schmidhuber
IJAR
2006
103views more  IJAR 2006»
13 years 8 months ago
Computing mean and variance under Dempster-Shafer uncertainty: Towards faster algorithms
In many real-life situations, we only have partial information about the actual probability distribution. For example, under Dempster-Shafer uncertainty, we only know the masses m...
Vladik Kreinovich, Gang Xiang, Scott Ferson
MP
2007
102views more  MP 2007»
13 years 8 months ago
Elastic-mode algorithms for mathematical programs with equilibrium constraints: global convergence and stationarity properties
The elastic-mode formulation of the problem of minimizing a nonlinear function subject to equilibrium constraints has appealing local properties in that, for a finite value of the...
Mihai Anitescu, Paul Tseng, Stephen J. Wright
ICCV
2007
IEEE
14 years 10 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
DATE
2006
IEEE
142views Hardware» more  DATE 2006»
14 years 2 months ago
Physical-aware simulated annealing optimization of gate leakage in nanoscale datapath circuits
For CMOS technologies below 65nm, gate oxide direct tunneling current is a major component of the total power dissipation. This paper presents a simulated annealing based algorith...
Saraju P. Mohanty, Ramakrishna Velagapudi, Elias K...