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» On Benchmarking Stochastic Global Optimization Algorithms
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ICPR
2008
IEEE
14 years 2 months ago
Layered shape matching and registration: Stochastic sampling with hierarchical graph representation
To automatically register foreground target in cluttered images, we present a novel hierarchical graph representation and a stochastic computing strategy in Bayesian framework. Th...
Xiaobai Liu, Liang Lin, Hongwei Li, Hai Jin, Wenbi...
ICCD
1996
IEEE
104views Hardware» more  ICCD 1996»
13 years 12 months ago
Latch Redundancy Removal Without Global Reset
For circuits where there may be latches with no reset line, we show how to replace some of them with combinational logic. All previous work in sequential optimization by latch rem...
Shaz Qadeer, Robert K. Brayton, Vigyan Singhal
ICMLA
2004
13 years 9 months ago
A new discrete binary particle swarm optimization based on learning automata
: The particle swarm is one of the most powerful methods for solving global optimization problems. This method is an adaptive algorithm based on social-psychological metaphor. A po...
Reza Rastegar, Mohammad Reza Meybodi, Kambiz Badie
MP
2006
105views more  MP 2006»
13 years 7 months ago
Two-stage integer programs with stochastic right-hand sides: a superadditive dual approach
We consider two-stage pure integer programs with discretely distributed stochastic right-hand sides. We present an equivalent superadditive dual formulation that uses the value fun...
Nan Kong, Andrew J. Schaefer, Brady Hunsaker
CVPR
2007
IEEE
14 years 9 months ago
Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction
Linear Discriminant Analysis (LDA) is a popular statistical approach for dimensionality reduction. LDA captures the global geometric structure of the data by simultaneously maximi...
Jianhui Chen, Jieping Ye, Qi Li