Region-based approach for the spectral clustering Nyström approximation with an application to burn depth assessment

Author:

García García Juan F.,Venegas-Andraca Salvador E.

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Reference54 articles.

1. Alzate, C., Suykens, J.: Image segmentation using a weighted kernel pca approach to spectral clustering. In: Computational Intelligence in iImage and Signal Processing, 2007. CIISP 2007. IEEE Symposium on, pp. 208–213 (2007)

2. Arbelaez, P., Maire, M., Fowlkes, C., Malik, J.: Contour detection and hierarchical image segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 33(5), 898–916 (2011)

3. Arbelaez, P., Maire, M., Fowlkes, C., Malik, J.: Contour detection and image segmentation resources. (2013) http://www.eecs.berkeley.edu/Research/Projects/CS/vision/grouping/resources.html

4. Belabbas, M.A., Wolfe, P.J.: Spectral methods in machine learning and new strategies for very large datasets. Proc. Natl. Acad. Sci. 106(2), 369–374 (2009)

5. Belongie, S., Fowlkes, C., Chung, F., Malik, J.: Spectral partitioning with indefinite kernels using the nyström extension. In: Proceedings of the 7th European Conference on Computer Vision-Part III. ECCV ’02, pp. 531–542, Springer, London, UK (2002)

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