Auto-weighted Mutli-view Sparse Reconstructive Embedding
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-07789-6
Abstract: With the development of multimedia era, multi-view data is generated in various fields. Contrast with those single-view data, multi-view data brings more useful information and should be carefully excavated. Therefore, it is essential to fully… read more here.
Keywords: view; weighted mutli; multi view; auto weighted ... See more keywords
Auto-weighted Multi-view learning for Semi-Supervised graph clustering
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.07.011
Abstract: Abstract Despite the popularity of graph clustering, existing methods are haunted by two problems. One is the implicit assumption that all attributes are treated equally with the same weights. The other is that they treat… read more here.
Keywords: auto weighted; topology; multi view; graph ... See more keywords
Self-paced and auto-weighted multi-view clustering
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DOI: 10.1016/j.neucom.2019.11.104
Abstract: Abstract Multi-view clustering (MVC) methods are effective approaches to enhance clustering performance by exploiting complementary information from multiple views. One main disadvantage of most existing MVC methods is that the corresponding optimization problems are non-convex… read more here.
Keywords: view clustering; view; multi view; auto weighted ... See more keywords
Multi-Attribute Subspace Clustering via Auto-Weighted Tensor Nuclear Norm Minimization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3220949
Abstract: Self-expressiveness based subspace clustering methods have received wide attention for unsupervised learning tasks. However, most existing subspace clustering methods consider data features as a whole and then focus only on one single self-representation. These approaches… read more here.
Keywords: attribute subspace; multi attribute; subspace clustering; weighted tensor ... See more keywords