Learning relative similarity by stochastic dual coordinate ascent
Learning relative similarity from pairwise instances is an important problem in machine learning and has a wide range of applications. Despite being studied for years, some existing methods solved by Stochastic Gradient Descent (SGD) techniques generally suffer from slow convergence. In this paper,...
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Main Authors: | WU, Pengcheng, YI, Ding, ZHAO, Peilin, MIAO, Chunyan, HOI, Steven C. H. |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2014
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Online Access: | https://ink.library.smu.edu.sg/sis_research/2321 https://ink.library.smu.edu.sg/context/sis_research/article/3321/viewcontent/8415_38543_1_PB.pdf |
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Institution: | Singapore Management University |
Language: | English |
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