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Label-Specific Alignment with Adversarial Multi-View ...
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由 Y Zhang 著作2021 — We proposed a novel approach named Label-specific Alignment with Adversarial Multi-view Representation (LAAMR).
Label-Specific Alignment with Adversarial Multi-View ...
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由 Y Zhang 著作2021 — In Multi-View Multi-Label (MVML) learning, each instance is represented with several feature vectors and associated with multiple labels simultaneously.
Label-Specific Alignment with Adversarial Multi-View ...
ResearchGate
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Request PDF | On Jul 5, 2021, Yi Zhang and others published Label-Specific Alignment with Adversarial Multi-View Representation | Find, read and cite all ...
Label-Specific Alignment with Adversarial Multi-View ...
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由 Y Zhang 著作2021 — LSA-MML [6] implicitly encodes label correlations by the common representation based on the un- covering latent semantic bases and the relations among them.
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Yi Zhang - Google Scholar
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Label-Specific Alignment with Adversarial Multi-View Representation. Y Zhang, J Shen, C Yu, C Wang. 2021 IEEE International Conference on Multimedia and Expo ...
Multi-View Multi-Label Learning with View-Specific Information ...
Semantic Scholar
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Label-Specific Alignment with Adversarial Multi-View Representation · Label driven latent subspace learning for multi-view multi-label classification · Non- ...
Reconsidering Representation Alignment for Multi-View ...
CVF Open Access
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由 DJ Trosten 著作2021被引用 189 次 — Aligning distributions of view representations is a core component of today's state of the art models for deep multi-view clustering.
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Yi Zhang
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Label-Specific Alignment with Adversarial Multi-View Representation. Y Zhang, J Shen, C Yu, C Wang. 2021 IEEE International Conference on Multimedia and Expo ...
Dual Perspective of Label-Specific Feature Learning for Multi ...
Proceedings of Machine Learning Research
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Proceedings of Machine Learning Research
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由 JY Hang 著作2022被引用 12 次 — Label-specific features serve as an effective strat- egy to facilitate multi-label classification, which account for the distinct discriminative proper-.
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A View-Specific Fusion for Multi-View Multi-Label Learning
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由 G Lyu 著作2022被引用 26 次 — In this paper, we propose a DeepGCN based View-Specific MVML method. (D-VSM) which can bypass seeking for the shared subspace representation, ...
8 頁