105 citations · 126 across the 22 of their papers we have counts for
5 papers · 1 filter
Sparse-Dense Subspace Clustering
Shuai Yang, Wenqi Zhu, Yuesheng Zhu
Subspace clustering refers to the problem of clustering high-dimensional data into a union of low-dimensional subspaces. Current subspace clustering approaches are usually based on…
Residual Encoder-Decoder Network for Deep Subspace Clustering
Shuai Yang, Wenqi Zhu, Yuesheng Zhu
Subspace clustering aims to cluster unlabeled data that lies in a union of low-dimensional linear subspaces. Deep subspace clustering approaches based on auto-encoders have become…
Three-Stage Subspace Clustering Framework with Graph-Based Transformation and Optimization
Shuai Yang, Wenqi Zhu, Yuesheng Zhu
Subspace clustering (SC) refers to the problem of clustering high-dimensional data into a union of low-dimensional subspaces. Based on spectral clustering, state-of-the-art approac…
Restricted Connection Orthogonal Matching Pursuit For Sparse Subspace Clustering
Wenqi Zhu, Yuesheng Zhu, Li Zhong +1
Sparse Subspace Clustering (SSC) is one of the most popular methods for clustering data points into their underlying subspaces. However, SSC may suffer from heavy computational bur…
A Novel Efficient Approach with Data-Adaptive Capability for OMP-based Sparse Subspace Clustering
Jiaqiyu Zhan, Zhiqiang Bai, Yuesheng Zhu
Orthogonal Matching Pursuit (OMP) plays an important role in data science and its applications such as sparse subspace clustering and image processing. However, the existing OMP-ba…