A new multi-view learning machine with incomplete data-Reference-Cited by-同舟云学术

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A new multi-view learning machine with incomplete data

Published:2020-02-11 Issue:3 Volume:23 Page:1085-1116
ISSN:1433-7541
Container-title:Pattern Analysis and Applications
language:en
Short-container-title:Pattern Anal Applic

Author:

Zhu Changming^ORCID,Chen Chao,Zhou Rigui,Wei Lai,Zhang Xiafen

Funder

Natural Science Foundation of Shanghai

National Natural Science Foundation of China

Postdoctoral Research Foundation of China

Chenguang Program

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition

Link

http://link.springer.com/content/pdf/10.1007/s10044-020-00863-y.pdf

Reference53 articles.

1. Xu YM, Wang CD, Lai JH (2016) Weighted multi-view clustering with feature selection. Pattern Recognit 53:25–35

2. Tzortzis G, Likas A (2012) Kernel-based weighted multi-view clustering. In: 2012 IEEE 12th international conference on data mining, pp 675–684

3. Sun SL, Zhang QJ (2011) Multiple-view multiple-learner semi-supervised learning. Neural Process Lett 34:229–240

4. Deng MQ, Wang C, Chen QF (2016) Human gait recognition based on deterministic learning through multiple views fusion. Pattern Recognit Lett 78(C):56–63

5. Wu F, Jing XY, You XG, Yue D, Hu RM, Yang JY (2016) Multi-view low-rank dictionary learning for image classification. Pattern Recognit 50:143–154

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1. Incomplete multi-view learning: Review, analysis, and prospects;Applied Soft Computing;2024-03

2. Improvement of Incomplete Multiview Clustering by the Tensor Reconstruction of the Connectivity Graph;Journal of Computer and Systems Sciences International;2023-06

3. Improvement of Incomplete Multiview Clustering by the Tensor Reconstruction of the Connectivity Graph;Известия Российской академии наук. Теория и системы управления;2023-05-01

4. Consistent auto-weighted multi-view subspace clustering;Pattern Analysis and Applications;2022-06-29

5. A survey on missing data in machine learning;Journal of Big Data;2021-10-27

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