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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… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2020
Review
2020
With the widespread use of information technologies, information networks are becoming increasingly popular to capture complex… Expand
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Review
2018
Review
2018
In many big-data systems, large amounts of information are recorded and stored for analytics purposes. Often however, this vast… Expand
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Review
2017
Review
2017
This article reviews recent computer vision techniques used in the assessment of image aesthetic quality. Image aesthetic… Expand
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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… Expand
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Highly Cited
2010
Highly Cited
2010
This paper investigates the feature subset selection problem for the binary classification problem using logistic regression… Expand
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Highly Cited
2009
Highly Cited
2009
A class of distance measures on probabilities -- the integral probability metrics (IPMs) -- is addressed: these include the… Expand
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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… Expand
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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… Expand
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Highly Cited
2002
Highly Cited
2002
When constructing a classifier, the probability of correct classification of future data points should be maximized. We consider… Expand
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Highly Cited
2000
Highly Cited
2000
Relational data offer a unique opportunity for improving the c lassification accuracy o f statistical m odels. If two objects are… Expand
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