Shi Jianbo, Malik J. Normalized Cuts and Image Segmentation. IEEE Trans on Pattern Analysis and Machine Intelligence, 2000, 22(8): 888-905
[2]
Ng A, Jordan M, Weiss Y. On Spectral Clustering: Analysis and an Algorithm // Proc of the Conference on Neural Information Processing Systems. Vancouver, Canada, 2002: 849-856
[3]
Wang Song, Siskund J M. Image Segmentation with Ratio Cut. IEEE Trans on Pattern Analysis and Machine Intelligence, 2003, 25(6): 675-690
[4]
Grady L, Schwartz E L. Isoperimetric Graph Partitioning for Image Segmentation. IEEE Trans on Pattern Analysis and Machine Intelligence, 2006, 28(3): 469-475
[5]
Zelnik-Manor L, Perona P. Self-Tuning Spectral Clustering // Proc of the Conference on Neural Information Processing Systems. Vancouver, Canada, 2005:1601-1608
[6]
Verman D, Meila M. A Comparison of Spectral Clustering Algorithms. Technical Report, 03-05-01, Seattle, USA, University of Washington. Department of Computer Science, 2003
[7]
Xiang Tao, Gong Shaogang. Spectral Clustering with Eigenvector Selection. Pattern Recognition, 2008, 41(3): 1012-1029
[8]
Schwartz G. Estimating the Dimension of A Model. The Annals of Statistics, 1978, 6(2): 461-464
[9]
McLachlan G J, Krishnan T. The EM Algorithm and Extensions. New York, USA: Wiley, 1997
[10]
McLachlan G J, Peel D. Finite Mixture Models. New York, USA: Wiley, 2000
[11]
Principe J, Xu D, Fisher J. Information Theoretic Learning // Haykin S, ed. Unsupervised Adaptive Filtering, New York, USA: John Wiley Sons, 2000: 265-317
[12]
Malik J, Belongie S, Leung T, et al. Contour and Texture Analysis for Image Segmentation. International Journal of Computer Vision, 2001, 43(1): 7-27
Martin D, Fowlkes C, Tal D, et al. A Database of Human Segmented Natural Images and Its Application to Evaluating Segmentation Algorithms and Measuring Ecological Statistics // Proc of the 8th IEEE International Conference on Computer Vision. Vancouver, Canada, 2001, Ⅱ: 416-423