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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)
v1v2v3 (latest)

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
S. García
Francisco Herrera
    DML
ArXiv (abs)PDFHTML

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)"

15 / 15 papers shown
Title
Quantifying Outlierness of Funds from their Categories using Supervised
  Similarity
Quantifying Outlierness of Funds from their Categories using Supervised Similarity
Dhruv Desai
Ashmita Dhiman
Tushar Sharma
Deepika Sharma
D. Mehta
Stefano Pasquali
109
6
0
14 Aug 2023
Integrating Language Guidance into Vision-based Deep Metric Learning
Integrating Language Guidance into Vision-based Deep Metric Learning
Karsten Roth
Oriol Vinyals
Zeynep Akata
VLM
55
29
0
16 Mar 2022
Reducing Data Complexity using Autoencoders with Class-informed Loss
  Functions
Reducing Data Complexity using Autoencoders with Class-informed Loss Functions
D. Charte
F. Charte
Francisco Herrera
52
14
0
11 Nov 2021
Recommender systems based on graph embedding techniques: A comprehensive
  review
Recommender systems based on graph embedding techniques: A comprehensive review
Yue Deng
121
25
0
20 Sep 2021
A Survey on Heterogeneous Graph Embedding: Methods, Techniques,
  Applications and Sources
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources
Xiao Wang
Deyu Bo
C. Shi
Shaohua Fan
Yanfang Ye
Philip S. Yu
AI4TS
127
313
0
30 Nov 2020
SpaML: a Bimodal Ensemble Learning Spam Detector based on NLP Techniques
SpaML: a Bimodal Ensemble Learning Spam Detector based on NLP Techniques
Jaouhar Fattahi
M. Mejri
11
18
0
15 Oct 2020
Personalized pathology test for Cardio-vascular disease: Approximate
  Bayesian computation with discriminative summary statistics learning
Personalized pathology test for Cardio-vascular disease: Approximate Bayesian computation with discriminative summary statistics learning
Ritabrata Dutta
K. Zouaoui Boudjeltia
Christos Kotsalos
A. Rousseau
D. R. Sousa
Jean-Marc Desmet
A. V. Meerhaeghe
Antonietta Mira
B. Chopard
126
4
0
13 Oct 2020
S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric
  Learning
S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning
Karsten Roth
Timo Milbich
Bjorn Ommer
Joseph Paul Cohen
Marzyeh Ghassemi
FedML
129
17
0
17 Sep 2020
Machine Learning for Reliability Engineering and Safety Applications:
  Review of Current Status and Future Opportunities
Machine Learning for Reliability Engineering and Safety Applications: Review of Current Status and Future Opportunities
Zhaoyi Xu
J. Saleh
79
352
0
19 Aug 2020
Two Simple Ways to Learn Individual Fairness Metrics from Data
Two Simple Ways to Learn Individual Fairness Metrics from Data
Debarghya Mukherjee
Mikhail Yurochkin
Moulinath Banerjee
Yuekai Sun
FaML
89
97
0
19 Jun 2020
Supervision and Source Domain Impact on Representation Learning: A
  Histopathology Case Study
Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study
Milad Sikaroudi
Amir Safarpoor
Benyamin Ghojogh
Sobhan Shafiei
Mark Crowley
H. R. Tizhoosh
SSLOOD
24
10
0
10 May 2020
Project and Forget: Solving Large-Scale Metric Constrained Problems
Project and Forget: Solving Large-Scale Metric Constrained Problems
Rishi Sonthalia
A. Gilbert
11
9
0
08 May 2020
ASL Recognition with Metric-Learning based Lightweight Network
ASL Recognition with Metric-Learning based Lightweight Network
Evgeny Izutov
SLR
45
6
0
10 Apr 2020
Distance-learning For Approximate Bayesian Computation To Model a
  Volcanic Eruption
Distance-learning For Approximate Bayesian Computation To Model a Volcanic Eruption
Lorenzo Pacchiardi
Pierre Künzli
Marcel Schoengens
B. Chopard
Ritabrata Dutta
65
13
0
28 Sep 2019
Distance Metric Learned Collaborative Representation Classifier
Distance Metric Learned Collaborative Representation Classifier
Tapabrata (Rohan) Chakraborty
B. McCane
S. Mills
Umapada Pal
28
2
0
03 May 2019
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