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Linear Multi View Reconstruction with Missing Data
2002General multi view reconstruction from affine or projective cameras has so far been solved most efficiently using methods of factorizing image data matrices into camera and scene parameters. This can be done directly for affine cameras [18] and after computing epipolar geometry for projective cameras [17].
Carsten Rother, Stefan Carlsson
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Multi-view Similarity Learning of Manifold Data
2019In recent years, multi-view learning methods have developed rapidly where graph-based approaches have achieved good performance. Usually, these learning methods construct information graph for each view or fuse different views into one graph. In this paper, a novel multi-view learning model that learns one similarity matrix for all views named Multi ...
Rui-rui Wang +3 more
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Multi-View Federated Learning with Data Collaboration
2022 14th International Conference on Machine Learning and Computing (ICMLC), 2022Yitao Yang, Xiucai Ye, Tetsuya Sakurai
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Robust Subspace Clustering for Multi-View Data by Exploiting Correlation Consensus
IEEE Transactions on Image Processing, 2015Yang Wang +5 more
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Semi-Supervised Multi-View Deep Discriminant Representation Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021Xiaodong Jia, Xiao-Yuan Jing, Xiaoke Zhu
exaly
A characterization of sampling patterns for low-rank multi-view data completion problem
International Symposium on Information Theory, 2017Morteza Ashraphijuo +2 more
semanticscholar +1 more source
Incremental unsupervised feature selection for dynamic incomplete multi-view data
Information Fusion, 2023exaly
Multi-view learning overview: Recent progress and new challenges
Information Fusion, 2017Jing Zhao, Xijiong Xie, Shiliang Sun
exaly
Unsupervised Feature Selection for Multi-View Data in Social Media
SDM, 2013Jiliang Tang +3 more
semanticscholar +1 more source

