Efficient clustering on Riemannian manifolds: A kernelised random projection approach

Author:

Zhao Kun,Alavi Azadeh,Wiliem ArnoldORCID,Lovell Brian C.

Funder

Sullivan Nicolaides Pathology, Australia

Australian Research Council (ARC)

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

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2. I.S. Dhillon, Y. Guan, B. Kulis, Kernel k-means: spectral clustering and normalized cuts, in: Proceedings of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004, pp. 551–556.

3. J. Bullas, 48 Significant Social Media Facts, Figures and Statistics Plus 7 Infographics, 〈http://www.jeffbullas.com/2012/04/23/48-significant-social-media-facts-figures-and-statistics-plus-7-infographics/〉, 2012.

4. 〈https://www.youtube.com/yt/press/statistics.html〉 (accessed on 2 November 2014).

5. Statistical computations on Grassmann and Stiefel manifolds for image and video-based recognition;Turaga;IEEE Trans. Pattern Anal. Mach. Intell.,2011

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