Quadratic classifier

Known as: Quadratic Discriminant Analysis 
A quadratic classifier is used in machine learning and statistical classification to separate measurements of two or more classes of objects or… (More)
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Topic mentions per year

1989-2018
010203019892018

Papers overview

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2007
2007
This pilot study is a product of the AneuRisk Project, a scientific program that aims at evaluating the role of vascular geometry… (More)
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2007
2007
A nonconvex quadratic classifier is proposed for pattern recognition. The classifier is obtained by solving a second-order cone… (More)
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Highly Cited
2007
Highly Cited
2007
Quadratic discriminant analysis is a common tool for classification, but estimation of the Gaussian parameters can be ill-posed… (More)
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Highly Cited
2007
Highly Cited
2007
This paper considers regularizing a covariance matrix of p variables estimated from n observations, by hard thresholding. We show… (More)
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Highly Cited
2007
Highly Cited
2007
The paper proposes a new covariance estimator for large covariance matrices when the variables have a natural ordering. Using the… (More)
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Highly Cited
2006
Highly Cited
2006
Recognition of handwritten characters is a challenging task because of the variability involved in the writing styles of… (More)
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Highly Cited
2005
Highly Cited
2005
In the research of statistical approach for handwritten character recognition, directional element feature (DEF) and modified… (More)
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Highly Cited
2005
Highly Cited
2005
Support vector machine (SVM) is a very speci1c type of learning algorithms characterized by the capacity control of the decision… (More)
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2002
2002
In biometric recognition applications, the number of training examples per class is limited and consequently the conventional… (More)
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Highly Cited
1996
Highly Cited
1996
Friedman has proposed a regularization technique RDA of discriminant anal ysis in the Gaussian framework RDA makes use of two… (More)
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