Kernelized evolutionary distance metric learning for semi-supervised clustering-Reference-Cited by-同舟云学术

Kernelized evolutionary distance metric learning for semi-supervised clustering

Published:2019-11-10 Issue:6 Volume:23 Page:1271-1297
ISSN:1088-467X
Container-title:Intelligent Data Analysis
language:
Short-container-title:IDA

Author:

Kalintha Wasin¹,Ono Satoshi²,Numao Masayuki³,Fukui Ken-ichi³

Affiliation:

1. Graduate School of Information Science and Technology, Osaka University, Osaka, Japan

2. Graduate School of Science and Engineering, Kagoshima University, Kagoshima, Japan

3. The Institute of Scientific and Industrial Research, Osaka University, Osaka, Japan

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science

Reference60 articles.

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4. B. Xiao, X. Yang, Y. Xu and H. Zha, Learning distance metric for regression by semidefinite programming with application to human age estimation, in: Proceedings of the 17th ACM International Conference on Multimedia, MM ’09, ACM, New York, NY, USA, 2009, pp. 451–460. doi: 10.1145/1631272.1631334.

5. Semi-supervised graph clustering: A kernel approach;Kulis;Machine Learning,2009

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