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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… 
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Papers overview

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Highly Cited
2018
Highly Cited
2018
Binary classifiers are often required to possess fairness in the sense of not overly discriminating with respect to a feature… 
Highly Cited
2016
Highly Cited
2016
We introduce the "Energy-based Generative Adversarial Network" model (EBGAN) which views the discriminator as an energy function… 
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… 
Highly Cited
2009
Highly Cited
2009
A class of distance measures on probabilities -- the integral probability metrics (IPMs) -- is addressed: these include the… 
Highly Cited
2008
Highly Cited
2008
Recently, on-line adaptation of binary classifiers for tracking have been investigated. On-line learning allows for simple… 
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… 
Highly Cited
2006
Highly Cited
2006
We present a reduction framework from ordinal regression to binary classification based on extended examples. The framework… 
Highly Cited
2005
Highly Cited
2005
Binary classification is a well studied special case of the classification problem. Statistical properties of binary classifiers… 
Highly Cited
2004
Highly Cited
2004
Diversity among the members of a team of classifiers is deemed to be a key issue in classifier combination. However, measuring… 
Highly Cited
1997
Highly Cited
1997
We explore a new approach to shape recognition based on a virtually infinite family of binary features (queries) of the image…