参考文献
[1] WU Z,LEAHY R. An optimal graph theoretic approach to data clustering: theory and its application to image segmentation [J].IEEE Transaction on Pattern Analysis and Machine Intelligence, 1993,15 (11):1101-1113.
[2]MEILA M, XU L. Multiway cuts and spectral clustering[R]. Washington: University of Washington, 2003.
[3]GRADY L,SCHWARTZ E L. Space-variant computer vision: a graph-theoretic approach [D].Boston: Boston University , 2004.
[4]DING C, HE X, ZHA H, et al. A min-max cut algorithm for graph partitioning and data clustering[C]. Proc. Of IEEE International Conference for Data Minging, 2001:107-114.
[5]CHAN P K, SCHLAG M D F,ZIEN J Y.Spectral k-way ratio-cut partitioning and clustering [J]. ACM New York, NY ,USA, 1993:749-754.
[6]CHAN P K,SCHLAG M D F,ZIEN S. Spectral k-way ratio-cut partitioning and clustering[J].IEEE Transactions on Computer-aided Design of Integrated Circuits and Systems, 1994, 13(9):1088-1096.
[7]YU S X, SHI J. Multiclass spectral clustering[C].Proceeding of the 9th IEEE International Conference on Computer Vision,2003 2:313-319.
[8]BARTHELEMY J P,LECLERC B.The median procedure foe partitions[C]//COX I J,et al.Partitioning Data Sets.AMS DIMACS Series in Discrete Mathematics,1995,19:3-34.
[9]BRAND M,HUANG K. A unifying theorem for spectral embedding and clustering[C].Proceedings of the 9th International Conference on Artificial Intelligence and Statistics (AISTATS),Key West ,Florida, 2002.
[10]VON LUXBURG U,BELKIN M,BOUSQUET O.Consistercy of spectral clustering[J].Annals of Statistics, 2008,36(2):555-588.
[11]FOWLKES C, BELONGIE S,CHUNG F,et al.Spectral grouping using the Nystrom method[J].IEEE Transactions on pattern Analysis and Machine Intelligence,2004,26(2):214-225.
[12]TITON J C.Image segmentation by region growing and spectral clustering with a natural conbergence criterion [C].Geoscience and Remote Sensing Symposium Proceedings(IGARSS),1998,4:1766-1768.
[13]O’CALLAGHAN R J,BULL D R. Combined morphological-spectral unsupervised image segmentation[J].IEEE Transactions on Image Processing,2005,14(1):49-62.
[14]EKIN A,PANKANTI S,HAMPAPUR A.Intialization-independent spectral clustering with applications to automatic video anlysis[J].Proc.of IEEE ICASSP.,2004,3:641-644.
[15]PRIETO R,JIANG J,CHOI C H. A new spectral clustering algorithm for large training sets[C].Proceedings of the 2nd International Conference on Machine Learning and Cybernetics,2003,1:147-152.
[16]FISCHER I,POLAND J.Amplifying the block matrix structure for spectral clustering[C].Proceedings of the 14th annual Machine Conference of Belgium and the Netherlands,2005:21-28.
[17] K. E. A. van de Sande, T. Gevers, and C. G. M. Snoek, “Evaluating color descriptors for object and scene recognition,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 32, no. 9, pp. 1582–1596, Sep. 2010.
[18] M. Brown and S. Süsstrunk, “Multi-spectral SIFT for scene category recognition,” in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2011, pp. 177–184.
[19] A. E. Abdel-Hakim and A. A. Farag, “CSIFT: A SIFT descriptor with color invariant characteristics,” in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., vol. 2. Jun. 2006, pp. 1978–1983.
[20] J. van de Weijer, T. Gevers, and A. D. Bagdanov, “Boosting color saliency in image feature detection,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 28, no. 1, pp. 150–156, Jan. 2006.
[21] W. Liu and D. Tao, “Multiview Hessian regularization for image annotation,” IEEE Trans. Image Process., vol. 22, no. 7, pp. 2676–2687, Jul. 2013.
[22] X. Wang, W. Bian, and D. Tao, “Grassmannian regularized structured
multi-view embedding for image classification,” IEEE Trans. Image Process., vol. 22, no. 7, pp. 2646–2660, Jul. 2013.
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