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Multi-View Learning for Material Classification [PDF]
Journal of Imaging, 2022 Material classification is similar to texture classification and consists in predicting the material class of a surface in a color image, such as wood, metal, water, wool, or ceramic. It is very challenging because of the intra-class variability. Indeed,
Borhan Uddin Sumon +3 more
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A Survey of Multi-View Representation Learning [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2019 Recently, multi-view representation learning has become a rapidly growing direction in machine learning and data mining areas. This paper introduces two categories for multi-view representation learning: multi-view representation alignment and multi-view representation fusion.
Yingming Li, Zhongfei Zhang
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Multi-View Intact Space Learning [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015 It is practical to assume that an individual view is unlikely to be sufficient for effective multi-view learning. Therefore, integration of multi-view information is both valuable and necessary. In this paper, we propose the Multi-view Intact Space Learning (MISL) algorithm, which integrates the encoded complementary information in multiple views to ...
Chang Xu, Dacheng Tao
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A review on multi-view learning
Frontiers of Computer ScienceAbstractMulti-view learning is an emerging field that aims to enhance learning performance by leveraging multiple views or sources of data across various domains. By integrating information from diverse perspectives, multi-view learning methods effectively enhance accuracy, robustness, and generalization capabilities.
Zhiwen Yu, Kaixiang Yang, Ziwei Fan
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Deep Multi-View Learning to Rank [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2021 Published at IEEE ...
Guanqun Cao +4 more
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Incomplete Multi-view Classification via Discriminative and Sparse Representation
Jisuanji kexue yu tansuo, 2021 Generally, the traditional multi-view learning methods assume that all samples are completed in all views. However, this assumption often fails in real applications because of limited access to data, equipment malfunc-tion, as well as occlusion and so on.
XIN Like, YANG Wanqi, YANG Ming
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Deep Partial Multi-View Learning [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 Although multi-view learning has made signifificant progress over the past few decades, it is still challenging due to the diffificulty in modeling complex correlations among different views, especially under the context of view missing. To address the challenge, we propose a novel framework termed Cross Partial Multi-View Networks (CPM-Nets), which ...
Changqing Zhang 0002 +5 more
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Multi-view dreaming: multi-view world model with contrastive learning
Advanced Robotics, 2023 7 pages, 8 ...
Akira Kinose +3 more
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Multi-view Fuzzy Clustering Combining Visual and Hidden Information with Feature Weighting
Jisuanji kexue yu tansuo, 2021 Multi-view clustering is a type of multi-view learning method applied to unsupervised learning, which aims to use the feature set of different views to enhance the effect of clustering.
LIANG Ling, DENG Zhaohong, WANG Shitong
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Fast Multi-view Privileged Random Vector Function Link Network [PDF]
Jisuanji kexue yu tansuo, 2022 In reality, feature data are usually obtained from different ways or levels for the same object, and the data obtained are called multi-view data. It is of research value to mine and utilize multi-view data and shows some advan-tages over traditional ...
WU Tianyu, WANG Shitong
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