Results 11 to 20 of about 21,136,484 (286)

Structure-guided decoupled contrastive framework for partial multi-view incomplete multi-label classification

Journal of King Saud University: Computer and Information Sciences
Recently, multi-view multi-label learning has gained significant attention due to its applicability in various domains. However, due to the limitations of data collection and the subjectivity of manual labeling, multi-view multi-label learning often ...
Linqian Yang, Tao Zhuang, Xing Jin, Tianyang Cao, Xiyin Wu   +4 more
doaj   +4 more sources

Multi-View Factorizing and Disentangling: A Novel Framework for Incomplete Multi-View Multi-Label Classification [PDF]

2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Multi-view multi-label classification (MvMLC) has recently garnered significant research attention due to its wide range of real-world applications. However, incompleteness in views and labels is a common challenge, often resulting from data collection ...
Long, Jiang, Zhao, Lian, Xie, Wulin, Nie, Bingyan, Lu, Xiaohuan   +4 more
core   +5 more sources

Siamese network with squeeze-attention for incomplete multi-view multi-label classification

Complex & Intelligent Systems
Multi-view multi-label classification (MvMLC) has garnered significant interest because of its ability to handle complex datasets. However, the inherent complexity of real-world data often results in incomplete views and missing labels, which limit the ...
Mengqing Wang, Jiarui Chen, Lian Zhao, Yinghao Ye, Xiaohuan Lu   +4 more
doaj   +2 more sources

Multi-View Multi-Label Classification via View-Label Matching Selection

Proceedings of the AAAI Conference on Artificial Intelligence
In multi-view multi-label classification (MVML), each object is described by several heterogeneous views while annotated with multiple related labels. The key to learn from such complicate data lies in how to fuse cross-view features and explore multi ...
Yang, Zhen, Wei, Hao, Lyu, Gengyu, Deng, Yongjian, Hai, Qiuru, Lin, Yuena   +5 more
core   +2 more sources

A multi-view multi-label fast model for Auricularia cornea phenotype identification and classification

Scientific Reports
The identification and classification of various phenotypic features of Auricularia cornea fruit bodies are crucial for quality grading and breeding efforts. The phenotypic features of Auricularia cornea fruit bodies encompass size, number, shape, color,
Yinghang Xu, Shizheng Qu, Huan Liu, Lina Zhang, Yunfei Liu, Lu Wang, Zhuoshi Li   +6 more
doaj   +3 more sources

Incomplete multi-view partial multi-label classification via deep semantic structure preservation

Complex & Intelligent Systems
Recent advances in multi-view multi-label learning are often hampered by the prevalent challenges of incomplete views and missing labels, common in real-world data due to uncertainties in data collection and manual annotation.
Chaoran Li, Xiyin Wu, Pai Peng, Zhuhong Zhang, Xiaohuan Lu   +4 more
doaj   +2 more sources

Low-Rank Multi-View Learning in Matrix Completion for Multi-Label Image Classification

Proceedings of the AAAI Conference on Artificial Intelligence, 2015
Multi-label image classification is of significant interest due to its major role in real-world web image analysis applications such as large-scale image retrieval and browsing. Recently, matrix completion (MC) has been developed to deal with multi-label
Tao, Dacheng, Luo, Yong, Wen, Yonggang, Xu, Chao, Liu, Meng   +4 more
core   +2 more sources

Deep consensus semantic aware network for partial multi-view incomplete multi-label classification

Journal of King Saud University: Computer and Information Sciences
Recently, multi-view multi-label classification (MVMLC) has attracted considerable attention, particularly in the computer vision field. However, due to overlooking incomplete views and missing labels caused by data collection limitations and unreliable ...
Bo Shao, Yang Xu
doaj   +2 more sources

MvAl-MFP: A Multi-Label Classification Method on the Functions of Peptides with Multi-View Active Learning

Current Issues in Molecular Biology
The rapid expansion of peptide libraries and the increasing functional diversity of peptides have highlighted the significance of predicting the multifunctional properties of peptides in bioinformatics research.
Yuxuan Peng, Jicong Duan, Yuanyuan Dan, Hualong Yu   +3 more
doaj   +3 more sources

Multi-label classification using ensembles of pruned sets [PDF]

, 2008
This paper presents a Pruned Sets method (PS) for multi-label classification. It is centred on the concept of treating sets of labels as single labels. This allows the classification process to inherently take into account correlations between labels. By
Pfahringer, Bernhard, Bernhard Pfahringer, Geoff Holmes, Holmes, Geoffrey, Jesse Read, Read, Jesse   +5 more
core   +1 more source