Results 11 to 20 of about 169,617 (164)
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
exaly +4 more sources
Multi-view data visualisation via manifold learning [PDF]
PeerJ Computer ScienceNon-linear dimensionality reduction can be performed by manifold learning approaches, such as stochastic neighbour embedding (SNE), locally linear embedding (LLE) and isometric feature mapping (ISOMAP).
Theodoulos Rodosthenous +2 more
doaj +6 more sources
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 ...
Zhang, Changqing +5 more
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Few-Shot Partial Multi-View Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 It is often the case that data are with multiple views in real-world applications. Fully exploring the information of each view is significant for making data more representative. However, due to various limitations and failures in data collection and pre-processing, it is inevitable for real data to suffer from view missing and data scarcity.
Yuan Zhou +4 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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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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Transductive Multi-View Zero-Shot Learning [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015 Most existing zero-shot learning approaches exploit transfer learning via an intermediate-level semantic representation shared between an annotated auxiliary dataset and a target dataset with different classes and no annotation. A projection from a low-level feature space to the semantic representation space is learned from the auxiliary dataset and is
Yanwei Fu +3 more
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Tensorized Multi-view Subspace Representation Learning [PDF]
International Journal of Computer Vision, 2020 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhang, Changqing +5 more
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Semantically consistent multi-view representation learning
Knowledge-Based Systems, 2023 19 pages ...
Yiyang Zhou +3 more
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Multi-view Metric Learning for Multi-view Video Summarization [PDF]
2016 International Conference on Cyberworlds (CW), 2016 Traditional methods on video summarization are designed to generate summaries for single-view video records, and thus they cannot fully exploit the mutual information in multi-view video records. In this paper, we present a multi-view metric learning framework for multi-view video summarization.
Linbo Wang +3 more
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