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Linear Multi View Reconstruction with Missing Data

2002
General 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
openaire   +1 more source

Multi-view Similarity Learning of Manifold Data

2019
In 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
openaire   +1 more source

Multi-View Federated Learning with Data Collaboration

2022 14th International Conference on Machine Learning and Computing (ICMLC), 2022
Yitao Yang, Xiucai Ye, Tetsuya Sakurai
openaire   +1 more source

Robust Subspace Clustering for Multi-View Data by Exploiting Correlation Consensus

IEEE Transactions on Image Processing, 2015
Yang Wang   +5 more
semanticscholar   +1 more source

Semi-Supervised Multi-View Deep Discriminant Representation Learning

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Xiaodong 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, 2017
Morteza Ashraphijuo   +2 more
semanticscholar   +1 more source

Vehicle-Road Multi-View Interactive Data Fusion

2023
Xinyu Zhang   +6 more
openaire   +1 more source

Multi-view learning overview: Recent progress and new challenges

Information Fusion, 2017
Jing Zhao, Xijiong Xie, Shiliang Sun
exaly  

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