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This work presents a new strategy for multi-class classification that requires no class-specific labels, but instead leverages pairwise similarity between examples, which is a weaker form of annotation.
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Ryan Rifkin and Aldebaro Klautau · 2004
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Probability estimates for multi-class classification by pairwise coupling
Ting-Fan Wu, Chih-Jen Lin, and Ruby C Weng · 2004
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Jason V Davis, Brian Kulis, Prateek Jain, Suvrit Sra, and Inderjit S Dhillon · 2007
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Human-level concept learning through probabilistic program induction
Brenden M. Lake, Ruslan Salakhutdinov, and Joshua B. Tenenbaum · 2015
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Neural network-based clustering using pairwise constraints
Yen-Chang Hsu and Zsolt Kira · 2016
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