433 citations · 821 across the 11 of their papers we have counts for
4 papers · 1 filter
Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization
Yanfeng Sun, Junbin Gao, Xia Hong +2
Tensors or multiarray data are generalizations of matrices. Tensor clustering has become a very important research topic due to the intrinsically rich structures in real-world mult…
Segmentation of Subspaces in Sequential Data
Stephen Tierney, Yi Guo, Junbin Gao
We propose Ordered Subspace Clustering (OSC) to segment data drawn from a sequentially ordered union of subspaces. Similar to Sparse Subspace Clustering (SSC) we formulate the prob…
Low Rank Representation on Grassmann Manifolds: An Extrinsic Perspective
Boyue Wang, Yongli Hu, Junbin Gao +2
Many computer vision algorithms employ subspace models to represent data. The Low-rank representation (LRR) has been successfully applied in subspace clustering for which data are…
Kernelized Low Rank Representation on Grassmann Manifolds
Boyue Wang, Yongli Hu, Junbin Gao +2
Low rank representation (LRR) has recently attracted great interest due to its pleasing efficacy in exploring low-dimensional subspace structures embedded in data. One of its succe…