Results 31 to 40 of about 169,617 (164)

Multi-View Classification via a Fast and Effective Multi-View Nearest-Subspace Classifier

IEEE Access, 2019
Multi-view data represented in multiple views contains more complementary information than a single view, whereby multi-view learning explores and utilizes the multi-view data.
Ting Shu, Bob Zhang, Yuan Yan Tang
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Multi-View Based Multi-Model Learning for MCI Diagnosis

Brain Sciences, 2020
Mild cognitive impairment (MCI) is the early stage of Alzheimer’s disease (AD). Automatic diagnosis of MCI by magnetic resonance imaging (MRI) images has been the focus of research in recent years. Furthermore, deep learning models based on 2D view
Ping Cao, Jie Gao, Zuping Zhang
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Fusing Local and Global Information for One-Step Multi-View Subspace Clustering

Applied Sciences, 2022
Multi-view subspace clustering has drawn significant attention in the pattern recognition and machine learning research community. However, most of the existing multi-view subspace clustering methods are still limited in two aspects.
Yiqiang Duan, Haoliang Yuan, Chun Sing Lai, Loi Lei Lai   +3 more
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A Novel Adaptive Multi-View Non-Negative Graph Semi-Supervised ELM

IEEE Access, 2020
This paper represents a semi-supervised learning framework, which integrates multi-view learning, extreme learning machine (ELM) and graph-based semi-supervised learning.
Feng Zheng, Zeyu Liu, Yijian Chen, Jiacheng An, Yanyan Zhang   +4 more
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A survey on canonical correlation analysis based multi-view learning

智能科学与技术学报, 2022
Multi-view learning (MVL) is a strategy for fusing data from different sources or subsets.Canonical correlation analysis (CCA) is very important in MVL, whose main idea is to maximize the correlation of different views.The traditional CCA can only ...
Chenfeng GUO, Dongrui WU
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Exploring Dynamic Hierarchical Fusion for Multi-View Clustering

IEEE Access
Multi-view clustering is effective at uncovering the latent structures within different views or modalities. However, existing approaches often oversimplify the problem by treating the contribution and granularity of information from all views as uniform,
Zhenshan Chen, Xuran Tian, Lizhen Gao, Gengbin Liao, Yang Shen, Kainan Zheng, Jianglin Fang   +6 more
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Multi-View Graph Clustering by Adaptive Manifold Learning

Mathematics, 2022
Graph-oriented methods have been widely adopted in multi-view clustering because of their efficiency in learning heterogeneous relationships and complex structures hidden in data.
Peng Zhao, Hongjie Wu, Shudong Huang
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Multi-view class incremental learning

Information Fusion
Multi-view learning (MVL) has gained great success in integrating information from multiple perspectives of a dataset to improve downstream task performance. To make MVL methods more practical in an open-ended environment, this paper investigates a novel paradigm called multi-view class incremental learning (MVCIL), where a single model incrementally ...
Li, Depeng, Wang, Tianqi, Chen, Junwei, Kawaguchi, Kenji, Lian, Cheng, Zeng, Zhigang   +5 more
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Multi-View Reinforcement Learning

, 2019
33rd Conference on Neural Information Processing Systems (NeurIPS 2019)
Li, Minne, Wu, Lisheng, Ammar, Haitham Bou, Wang, Jun   +3 more
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Robust Auto-weighted Multi-view Subspace Clustering

Jisuanji kexue yu tansuo, 2021
As the ability to collect and store data improving, real data are usually made up of different forms (view). Therefore, multi-view learning plays a more and more important role in the field of machine learning and pattern recognition.
FAN Ruidong, HOU Chenping
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