Learning multiple maps from conditional ordinal triplets

• Main Authors: LE, Duy Dung, LAUW, Hady Wirawan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: multiple maps; ordinal triplets; embedding; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/4697; https://ink.library.smu.edu.sg/context/sis_research/article/5700/viewcontent/ijcai19b.pdf
• Institution: Singapore Management University

Ordinal embedding seeks a low-dimensional representation of objects based on relative comparisons of their similarities. This low-dimensional representation lends itself to visualization on a Euclidean map. Classical assumptions admit only one valid aspect of similarity. However, there are increasin...