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Binary classification
Known as:
Binary classifier
, Binary categorization
, Binary test
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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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Related topics
Related topics
35 relations
Automatic summarization
Bayesian network
Calibration (statistics)
Complexity
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Broader (2)
Machine learning
Statistical classification
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2018
Highly Cited
2018
The cost of fairness in binary classification
A. Menon
,
R. C. Williamson
FAT
2018
Corpus ID: 3311041
Binary classifiers are often required to possess fairness in the sense of not overly discriminating with respect to a feature…
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Highly Cited
2016
Highly Cited
2016
Energy-based Generative Adversarial Network
J. Zhao
,
Michaël Mathieu
,
Yann LeCun
ArXiv
2016
Corpus ID: 15876696
We introduce the "Energy-based Generative Adversarial Network" model (EBGAN) which views the discriminator as an energy function…
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Highly Cited
2010
Highly Cited
2010
P-N learning: Bootstrapping binary classifiers by structural constraints
Zdenek Kalal
,
Jiri Matas
,
K. Mikolajczyk
IEEE Computer Society Conference on Computer…
2010
Corpus ID: 1991688
This paper shows that the performance of a binary classifier can be significantly improved by the processing of structured…
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Highly Cited
2009
Highly Cited
2009
On integral probability metrics, φ-divergences and binary classification
Bharath K. Sriperumbudur
,
K. Fukumizu
,
A. Gretton
,
B. Scholkopf
,
G. Lanckriet
2009
Corpus ID: 14114329
A class of distance measures on probabilities -- the integral probability metrics (IPMs) -- is addressed: these include the…
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Highly Cited
2008
Highly Cited
2008
Semi-supervised On-Line Boosting for Robust Tracking
H. Grabner
,
C. Leistner
,
H. Bischof
ECCV
2008
Corpus ID: 11989316
Recently, on-line adaptation of binary classifiers for tracking have been investigated. On-line learning allows for simple…
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Highly Cited
2007
Highly Cited
2007
Demographic Classification with Local Binary Patterns
Zhiguang Yang
,
H. Ai
ICB
2007
Corpus ID: 8551016
LBP (Local Binary Pattern) as an image operator is used to extract LBPH (LBP histogram) features for texture description. In this…
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Highly Cited
2006
Highly Cited
2006
Ordinal Regression by Extended Binary Classification
Ling Li
,
Hsuan-Tien Lin
NIPS
2006
Corpus ID: 2090732
We present a reduction framework from ordinal regression to binary classification based on extended examples. The framework…
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Highly Cited
2005
Highly Cited
2005
On the Consistency of Multiclass Classification Methods
Ambuj Tewari
,
P. Bartlett
J. Mach. Learn. Res.
2005
Corpus ID: 951428
Binary classification is a well studied special case of the classification problem. Statistical properties of binary classifiers…
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Highly Cited
2004
Highly Cited
2004
Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy
L. Kuncheva
,
C. J. Whitaker
Machine Learning
2004
Corpus ID: 14317314
Diversity among the members of a team of classifiers is deemed to be a key issue in classifier combination. However, measuring…
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Highly Cited
1997
Highly Cited
1997
Shape Quantization and Recognition with Randomized Trees
Y. Amit
,
D. Geman
Neural Computation
1997
Corpus ID: 12470146
We explore a new approach to shape recognition based on a virtually infinite family of binary features (queries) of the image…
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