Spectral Curvature Clustering (SCC)

@article{Chen2008SpectralCC,
  title={Spectral Curvature Clustering (SCC)},
  author={Guangliang Chen and Gilad Lerman},
  journal={International Journal of Computer Vision},
  year={2008},
  volume={81},
  pages={317-330}
}
This paper presents novel techniques for improving the performance of a multi-way spectral clustering framework (Govindu in Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05), vol. 1, pp. 1150–1157, 2005; Chen and Lerman, 2007, preprint in the supplementary webpage) for segmenting affine subspaces. Specifically, it suggests an iterative sampling procedure to improve the uniform sampling strategy, an automatic scheme of inferring the… CONTINUE READING
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submitted). Curvature-driven diffusion and hybrid flat-surfaces modeling

  • G. Chen, G. Lerman
  • Foundations of Computational Mathematics
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18 Excerpts

Curvature - driven diffusion and hybrid flat - surfaces modeling

  • G. Chen, G. Lerman
  • Foundations of Computational Mathematics
  • 2007
Highly Influential
12 Excerpts

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