A Tutorial on Distance Metric Learning: Mathematical Foundations,
Algorithms, Experimental Analysis, Prospects and Challenges (with Appendices
on Mathematical Background and Detailed Algorithms Explanation)

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A Tutorial on Distance Metric Learning: Mathematical Foundations, Algorithms, Experimental Analysis, Prospects and Challenges (with Appendices on Mathematical Background and Detailed Algorithms Explanation)

14 December 2018

Juan-Luis Suárez

Francisco Herrera

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Papers citing "A Tutorial on Distance Metric Learning: Mathematical Foundations, Algorithms, Experimental Analysis, Prospects and Challenges (with Appendices on Mathematical Background and Detailed Algorithms Explanation)"

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Title
Machine Learning for Reliability Engineering and Safety Applications: Review of Current Status and Future Opportunities Zhaoyi Xu J. Saleh 65 348 0 19 Aug 2020
Transferring Knowledge Fragments for Learning Distance Metric from A Heterogeneous Domain Yong Luo Yonggang Wen Tongliang Liu Dacheng Tao 56 78 0 08 Apr 2019
A snapshot on nonstandard supervised learning problems: taxonomy, relationships and methods D. Charte F. Charte S. García Francisco Herrera OffRL 32 33 0 29 Nov 2018
Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning Nicolas Papernot Patrick McDaniel OOD AAML 149 508 0 13 Mar 2018
Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis A. Benavoli Giorgio Corani J. Demšar Marco Zaffalon BDL 62 424 0 14 Jun 2016
MLlib: Machine Learning in Apache Spark Xiangrui Meng Joseph K. Bradley Burak Yavuz Evan R. Sparks Shivaram Venkataraman ... Reynold Xin Michael Franklin R. Zadeh Matei A. Zaharia Ameet Talwalkar 60 1,783 0 26 May 2015
A Survey on Metric Learning for Feature Vectors and Structured Data A. Bellet Amaury Habrard M. Sebban 115 681 0 28 Jun 2013
Towards Ultrahigh Dimensional Feature Selection for Big Data Mingkui Tan Ivor W. Tsang Li Wang 135 154 0 24 Sep 2012