A fast diagonal distance metric learning approach for large-scale datasets - Citegraph

Paper Info

Title
A fast diagonal distance metric learning approach for large-scale datasets

Abstract
•Approximate distance metric learning with a diagonal linear transformation.•Improve the basic model with ℓ1 and ℓ2 regularizations which prevent over-fitting.•Alternative implementation of ℓ2 regularization with ADMM-based optimization.•Implementation on the Spark platform and suitable for large-scale computation.

Year	DOI	Venue
2021	10.1016/j.ins.2021.04.077	Information Sciences
Keywords	DocType	Volume
Distance metric learning,Data transformation,Projection,Large-scale computation	Journal	571
ISSN	Citations	PageRank
0020-0255	0	0.34
References	Authors
4	4

Authors (4 rows)

Cited by (0 rows)

References (4 rows)

Name	Order	Citations	PageRank
Tie Li	1	13	1.89
Gang Kou	2	2527	191.95
Yi Peng	3	1303	78.20
Philip S. Yu	4	30670	3474.16

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