Binary classification

Known as: Binary classifier, Binary categorization, Binary test 
Binary or binomial classification is the task of classifying the elements of a given set into two groups on the basis of a classification rule… (More)
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Topic mentions per year

Topic mentions per year

1964-2018
020040019642018

Papers overview

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Highly Cited
2010
Highly Cited
2010
This paper shows that the performance of a binary classifier can be significantly improved by the processing of structured… (More)
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Highly Cited
2009
Highly Cited
2009
Article history: Received 14 February 2008 Received in revised form 21 November 2008 Accepted 6 March 2009 Available online 8 May… (More)
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Highly Cited
2007
Highly Cited
2007
LBP (Local Binary Pattern) as an image operator is used to extract LBPH (LBP histogram) features for texture description. In this… (More)
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Highly Cited
2006
Highly Cited
2006
We present a reduction framework from ordinal regression to binary classification based on extended examples. The framework… (More)
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Highly Cited
2005
Highly Cited
2005
We show how to learn aMahanalobis distance metric for k-nearest neighbor (kNN) classification by semidefinite programming. The… (More)
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Highly Cited
2004
Highly Cited
2004
We study how closely the optimal Bayes error rate can be approximately reached using a classification algorithm that computes a… (More)
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Highly Cited
2003
Highly Cited
2003
We consider the solution of binary classification problems via Tikhonov regularization in a Reproducing Kernel Hilbert Space… (More)
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Highly Cited
2002
Highly Cited
2002
Support vector machines (SVMs) were originally designed for binary classification. How to effectively extend it for multiclass… (More)
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Highly Cited
2001
Highly Cited
2001
We study how the SVM-based binary classifiers can be effectively combined to tackle the multi-class image classification problem… (More)
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Highly Cited
2000
Highly Cited
2000
Relational data offer a unique opportunity for improving the classification accuracy of statistical models. If two objects are… (More)
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