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Variance Criterion

Method for removing extreme values from a set, based upon its variance. Defined in documents available at http://bioconductor.org/packages/1.9/bioc… 
National Institutes of Health

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2013
2013
Image Segmentation Using Two-dimensional Extension of Minimum Within-class Variance Criterion
Thresholding based on variance analysis of gray levels histogram is a very effective technology for image segmentation. However… 
Review
2012
Review
2012
Size Structure and Biomass of the Panama Grunt (Pomadasys panamensis) from Bycatch inthe Southeastern Gulf of California
A population analysis was made using data of the grunt Pomadasys panamensis. The information is from the catch from 260 hauls in… 
2011
2011
Credibility for a Tower of Excess Layers
In pricing excess of loss reinsurance, the traditional method for applying credibility is as a weighted average of two estimates… 
2011
2011
Controladores auto-ajustables para una clase de sistemas bilineales
En este trabajo, se propone un algoritmo auto-ajustable implicito basado en el criterio de varianza minima generalizada para la… 
2009
2009
Unbiased Invariant Least Squares Estimation in A Generalized Growth Curve Model.
This paper is concerned with a generalized growth curve model. We derive the unbiased invariant least squares estimators of the… 
2007
2007
Tumor localization using diffuse optical tomography and linearly constrained minimum variance beamforming.
We present a tumor localization method for diffuse optical tomography using linearly constrained minimum variance (LCMV… 
2007
2007
Self-tuning control of time-varying systems based on generalized minimum variance criterion
Important issues on self-tuning control include stability, performance and convergence of the recursive algorithm involved. Based… 
2006
2006
Self-tuning of repetitive controllers based on generalized minimum variance criterion
This paper deals with discrete time robust repetitive control, for minimum and non-minimum phase plants. The paper is divided in… 
1994
1994
Detection of the number of image regions by minimum bias/variance criterion
An unsupervised stochastic model-based image analysis technique requires the model parameters to be estimated directly from the… 
1985
1985
Character image segmentation, based upon minimum variance criterion
Description de deux nouvelles methodes pour la segmentation de caracteres sous des conditions plus generales 
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