Deep Co-Attention Network for Multi-View Subspace Learning

机译：用于多视图子空间学习的深入关注网络

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Lecheng Zheng; Yu Cheng; Hongxia Yang; Nan Cao; Jingrui He;
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年度 2021
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1. CCA-Flow Deep Multi-view Subspace Learning with Inverse Autoregressive Flow [J] . Jia He, Feiyang Pan, Fuzhen Zhuang, JMLR: Workshop and Conference Proceedings . 2020,第2010期

机译：CCA-Flow深度多视图子空间学习与反向自回归流程
2. Deep Constrained Low-Rank Subspace Learning for Multi-View Semi-Supervised Classification [J] . Zhe Xue, Junping Du, Dawei Du, IEEE signal processing letters . 2019,第8期

机译：用于多视图半监督分类的深度约束低秩子空间学习
3. Learning multi-view deep and shallow features through new discriminative subspace for bi-subject and tri-subject kinship verification [J] . Laiadi Oualid, Ouamane Abdelmalik, Benakcha Abdelhamid, Applied Intelligence: The International Journal of Artificial Intelligence, Neural Networks, and Complex Problem-Solving Technologies . 2019,第11期

机译：学习多视图深层和浅浅的功能，通过新的鉴别子空间进行BI-PROCEST和TRI-CONSOCT KILSHIP验证
4. Deep Correlated Predictive Subspace Learning for Incomplete Multi-View Semi-Supervised Classification [C] . Zhe Xue, Junping Du, Dawei Du, International Joint Conference on Artificial Intelligence . 2020

机译：深度相关预测子空间学习，不完整多视图半监督分类
5. Reconstructing and Optimizing Natural Images Perceived by the Human Brain Based on Bayesian Deep Multi-View Learning [D] . Li, Xintong. 2021

机译：基于贝叶斯深度多视图学习的人脑重建和优化自然图像
6. ALS Point Cloud Classification by Integrating an Improved Fully Convolutional Network into Transfer Learning with Multi-Scale and Multi-View Deep Features [O] . Xiangda Lei, Hongtao Wang, Cheng Wang, 2020

机译：ALS点云分类通过将改进的完全卷积网络集成到传输学习以多尺度和多视图深度特征
7. Multi-View Deep Network: A Deep Model Based on Learning Features From Heterogeneous Neural Networks for Sentiment Analysis [O] . Hossein Sadr, Mir Mohsen Pedram, Mohammad Teshnehlab 2020

机译：多视图深网络：基于异构神经网络情感分析的深度模型

Deep Co-Attention Network for Multi-View Subspace Learning

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