학술논문

Metric Learning from Relative Comparisons by Minimizing Squared Residual
Document Type
Conference
Source
2012 IEEE 12th International Conference on Data Mining Data Mining (ICDM), 2012 IEEE 12th International Conference on. :978-983 Dec, 2012
Subject
Computing and Processing
Measurement
Accuracy
Clustering algorithms
Symmetric matrices
Linear programming
Covariance matrix
Convergence
metric learning
Mahalanobis metric
relative comparisons
Language
ISSN
1550-4786
2374-8486
Abstract
Recent studies [1] -- [5] have suggested using constraints in the form of relative distance comparisons to represent domain knowledge: d(a, b)