Cascade Subspace Clustering

@inproceedings{Peng2017CascadeSC,
  title={Cascade Subspace Clustering},
  author={Xi Peng and Jiashi Feng and Jiwen Lu and Wei-Yun Yau and Zhang Yi},
  booktitle={AAAI},
  year={2017}
}
In this paper, we recast the subspace clustering as a verification problem. Our idea comes from an assumption that the distribution between a given sample x and cluster centers Ω is invariant to different distance metrics on the manifold, where each distribution is defined as a probability map (i.e. soft-assignment) between x and Ω. To verify this socalled invariance of distribution, we propose a deep learning based subspace clustering method which simultaneously learns a compact representation… CONTINUE READING

Citations

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2018 International Joint Conference on Neural Networks (IJCNN) • 2018
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