Dual Graph Regularized Latent Low-Rank Representation for Subspace Clustering

@article{Yin2015DualGR,
  title={Dual Graph Regularized Latent Low-Rank Representation for Subspace Clustering},
  author={Ming Yin and Junbin Gao and Zhouchen Lin and Qinfeng Shi and Yi Guo},
  journal={IEEE Transactions on Image Processing},
  year={2015},
  volume={24},
  pages={4918-4933}
}
Low-rank representation (LRR) has received considerable attention in subspace segmentation due to its effectiveness in exploring low-dimensional subspace structures embedded in data. To preserve the intrinsic geometrical structure of data, a graph regularizer has been introduced into LRR framework for learning the locality and similarity information within data. However, it is often the case that not only the high-dimensional data reside on a non-linear low-dimensional manifold in the ambient… CONTINUE READING
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