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COMPARISON OF PARTICLE SWARM OPTIMIZATION AND GENETIC ALGORITHM IN RATIONAL FUNCTION MODEL OPTIMIZATION
Rational Function Model (RFM) Particle Swarm Optimization (PSO) Genetic Algorithm (GA) Mathematical Modelling High Resolution Satellite Images (HRSIs)
2014/4/25
Rational Function Models (RFM) are one of the most considerable approaches for spatial information extraction from satellite images especially where there is no access to the sensor parameters. As the...
An auxiliary model based stochastic gradient algorithm for multivariable output error systems
Recursive identification parameter estimation stochastic gradient
2009/9/9
The identification problem of multivariable output error systems is considered in this paper. By constructing an auxiliary model using available input-output data and by replacing the unknown inner va...
An auxiliary model based stochastic gradient algorithm for multivariable output error systems
Recursive identification parameter estimation stochastic gradient
2009/9/9
The identification problem of multivariable output error systems is considered in this paper. By constructing an auxiliary model using available input-output data and by replacing the unknown inner va...
Statistical Model, Analysis and Approximation of Rate-Distortion Function in MPEG-4 FGS Videos
Statistical Model Rate-Distortion Function MPEG-4 FGS Videos
2010/12/15
Fine-granular scalability (FGS) has been accepted as the streaming profile of MPEG-4 to provide a flexible foundation for scaling the enhancement layer (EL) to accommodate variable network capacity. T...
Local Gabor Binary Pattern Histogram Sequence (LGBPHS): A Novel Non-Statistical Model for Face Representation and Recognition
Local Gabor Binary Pattern Histogram Sequence Novel Non-Statistical Model
2010/12/15
For years, researchers in face recognition area have been representing and recognizing faces based on subspace discriminant analysis or statistical learning.Nevertheless, these approaches are always s...
Approximating Inference on Complex Motion Models Using Multi-model Particle Filter
Complex Motion Models Multi-model Particle Filter
2010/12/14
Due to its great ability of conquering clutters, which is especially useful for high-dimensional tracking problems, particle filter becomes popular in the visual tracking community. One remained diffi...
