Efficient Multiple Kernel Clustering via Spectral Perturbation-Reference-Cited by-同舟云学术

Efficient Multiple Kernel Clustering via Spectral Perturbation

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Multimedia
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Author:

Tang Chang¹,Li Zhenglai¹,Yan Weiqing²,Yue Guanghui³,Zhang Wei⁴

Affiliation:

1. China University of Geosciences & Nanjing University, Wuhan, China

2. Yantai University, Yantai, China

3. Shenzhen University, Shenzhen, China

4. Shandong Provincial Key Laboratory of Computer Networks, Shandong Computer Science Center (National Supercomputing Center in Jinan) & Qilu University of Technology (Shandong Academy of Sciences), Jinan, China

Funder

National Natural Science Foundation of China

Natural Natural Science Foundation of Shandong Province

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3503161.3548153

Reference39 articles.

1. Heterogeneous image feature integration via multi-modal spectral clustering

2. Corinna Cortes and Mohri. 2013 . Multi-class classification with maximum margin multiple kernel . In International Conference on Machine Learning. 46--54 . Corinna Cortes and Mohri. 2013. Multi-class classification with maximum margin multiple kernel. In International Conference on Machine Learning. 46--54.

3. Corinna Cortes , Mehryar Mohri , and Afshin Rostamizadeh . 2012 . Algorithms for learning kernels based on centered alignment . Journal of Machine Learning Research 13, Mar (2012), 795--828. Corinna Cortes, Mehryar Mohri, and Afshin Rostamizadeh. 2012. Algorithms for learning kernels based on centered alignment. Journal of Machine Learning Research 13, Mar (2012), 795--828.

4. Liang Du , Peng Zhou , Lei Shi , Hanmo Wang , Mingyu Fan , Wenjian Wang , and Yi- Dong Shen . 2015 . Robust multiple kernel K-means using l21-norm . In International Joint Conference on Artificial Intelligence. 3476--3482 . Liang Du, Peng Zhou, Lei Shi, Hanmo Wang, Mingyu Fan, Wenjian Wang, and Yi- Dong Shen. 2015. Robust multiple kernel K-means using l21-norm. In International Joint Conference on Artificial Intelligence. 3476--3482.

5. S El Hajjar , F Dornaika , F Abdallah , and N Barrena . 2022. Consensus graph and spectral representation for one-step multi-view kernel based clustering. Knowledge-Based Systems ( 2022 ), 108250. S El Hajjar, F Dornaika, F Abdallah, and N Barrena. 2022. Consensus graph and spectral representation for one-step multi-view kernel based clustering. Knowledge-Based Systems (2022), 108250.

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