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cs.LG2025
Towards Comprehensive Information-theoretic Multi-view Learning
Long Shi, Yunshan Ye, Wenjie Wang +4
Information theory has inspired numerous advancements in multi-view learning. Most multi-view methods incorporating information-theoretic principles rely an assumption called multi…
cs.LG2024★ 2 cited
Tensor-based Graph Learning with Consistency and Specificity for Multi-view Clustering
Long Shi, Lei Cao, Yunshan Ye +2
In the context of multi-view clustering, graph learning is recognized as a crucial technique, which generally involves constructing an adaptive neighbor graph based on probabilisti…
cs.LG2024
Nonlinear subspace clustering by functional link neural networks
Long Shi, Lei Cao, Zhongpu Chen +2
Nonlinear subspace clustering based on a feed-forward neural network has been demonstrated to provide better clustering accuracy than some advanced subspace clustering algorithms.…