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» Optimal Statistical Tuning of the RED Parameters
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ECCV
2006
Springer
15 years 11 months ago
Unsupervised Texture Segmentation with Nonparametric Neighborhood Statistics
Abstract. This paper presents a novel approach to unsupervised texture segmentation that relies on a very general nonparametric statistical model of image neighborhoods. The method...
Suyash P. Awate, Tolga Tasdizen, Ross T. Whitaker
CEC
2008
IEEE
15 years 4 months ago
Auto-tuning fuzzy granulation for evolutionary optimization
—Much of the computational complexity in employing evolutionary algorithms as optimization tool is due to the fitness function evaluation that may either not exist or be computat...
Mohsen Davarynejad, Mohammad R. Akbarzadeh-Totonch...
CORR
2008
Springer
85views Education» more  CORR 2008»
14 years 9 months ago
Computationally Efficient Estimators for Dimension Reductions Using Stable Random Projections
The method of stable random projections is an efficient tool for computing the l distances using low memory, where 0 < 2 may be viewed as a tuning parameter. This method boil...
Ping Li
AAAI
1997
14 years 10 months ago
Evidence for Invariants in Local Search
It is well known that the performance of a stochastic local search procedure depends upon the setting of its noise parameter, and that the optimal setting varies with the problem ...
David A. McAllester, Bart Selman, Henry A. Kautz
104
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IPMI
2007
Springer
15 years 10 months ago
Shape Modeling and Analysis with Entropy-Based Particle Systems
This paper presents a new method for constructing compact statistical point-based models of ensembles of similar shapes that does not rely on any specific surface parameterization....
Joshua E. Cates, P. Thomas Fletcher, Martin Andrea...