13 citations · 20 across the 6 of their papers we have counts for
6 papers
Interpretable Multi-View Clustering Based on Anchor Graph Tensor Factorization
Rui Wang, Jing Li, Quanxue Gao +1
The clustering method based on the anchor graph has gained significant attention due to its exceptional clustering performance and ability to process large-scale data. One common a…
Label Learning Method Based on Tensor Projection
Jing Li, Quanxue Gao, Qianqian Wang +2
Multi-view clustering method based on anchor graph has been widely concerned due to its high efficiency and effectiveness. In order to avoid post-processing, most of the existing a…
Generative Partial Multi-View Clustering
Qianqian Wang, Zhengming Ding, Zhiqiang Tao +2
Nowadays, with the rapid development of data collection sources and feature extraction methods, multi-view data are getting easy to obtain and have received increasing research att…
Lifelong Spectral Clustering
Gan Sun, Yang Cong, Qianqian Wang +2
In the past decades, spectral clustering (SC) has become one of the most effective clustering algorithms. However, most previous studies focus on spectral clustering tasks with a f…
Visual Tactile Fusion Object Clustering
Tao Zhang, Yang Cong, Gan Sun +2
Object clustering, aiming at grouping similar objects into one cluster with an unsupervised strategy, has been extensivelystudied among various data-driven applications. However, m…
Representative Task Self-selection for Flexible Clustered Lifelong Learning
Gan Sun, Yang Cong, Qianqian Wang +2
Consider the lifelong machine learning paradigm whose objective is to learn a sequence of tasks depending on previous experiences, e.g., knowledge library or deep network weights.…