Beyond global fusion: a group-aware fusion approach for multi-view image clustering
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Publication:2215012
DOI10.1016/j.ins.2019.04.034zbMath1451.68236OpenAlexW2940686350WikidataQ128009992 ScholiaQ128009992MaRDI QIDQ2215012
Qingming Huang, Shuhui Wang, Guorong Li, Zhe Xue, Jun Huang, Weigang Zhang
Publication date: 10 December 2020
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2019.04.034
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10)
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Cites Work
- Multi-view clustering based on graph-regularized nonnegative matrix factorization for object recognition
- Multiple kernel clustering based on centered kernel alignment
- Low-rank representation with adaptive graph regularization
- Joint multi-view representation and image annotation via optimal predictive subspace learning
- Unsupervised Feature Selection via Nonnegative Spectral Analysis and Redundancy Control
- Weakly Supervised Deep Matrix Factorization for Social Image Understanding
- 10.1162/153244303321897735
- Group-Sensitive Multiple Kernel Learning for Object Recognition
- Modeling the shape of the scene: A holistic representation of the spatial envelope
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