[1] CHAPELLE O, WESTON J, SCHöLKOPF B. Cluster kernels for semi-supervised learning [EB/OL]. [2015-01-02]. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.75.4092&rep=rep1&type=pdf. [2] NG A Y, JORDAN M, WEISS Y. On spectral clustering: analysis and an algorithm [EB/OL]. [2015-01-01]. http://machinelearning.wustl.edu/mlpapers/paper_files/nips02-AA35.pdf. [3] FISCHER B, ROTH V, BUHMANN J M. Clustering with the connectivity kernel [EB/OL]. [2015-01-06]. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.9.3468&rep=rep1&type=pdf. [4] SZUMMER M, JAAKKOLA M. Partially labeled classification with Markov random walks [EB/OL]. [2015-01-04]. http://131.107.65.14/pubs/65581/szummerjaakkola-nips01.pdf. [5] TUIA D, CAMPS-VALLS G. Semi-supervised remote sensing image classification with cluster kernels [J]. IEEE Geoscience and Remote Sensing Letters, 2009,6(2):224-228. [6] WANG Y, LIANG Y, PAN Q. Spatiotemporal background modeling based on adaptive mixture of Gaussians [J]. Acta Automatica Sinica, 2009,35(4):371-378.(王永忠, 梁彦, 潘泉. 基于自适应混合高斯模型的时空背景建模[J].自动化学报,2009,35(4):371-378.) [7] GÓMEZ-CHOVA L, CAMPS-VALLS G, BRUZZONE L, et al. Mean map kernel methods for semi-supervised cloud classification [J]. IEEE Geoscience and Remote Sensing, 2010,48(1):207-220. [8] GÓMEZ-CHOVA L, BRUZZONE L, CAMPS-VALLS G, et al. Semi-supervised remote sensing image classification based on clustering and the mean map kernel[C]//Proceedings of the 2008 IEEE International Geoscience and Remote Sensing Symposium. Piscataway: IEEE Press, 2008,4:391-394. [9] RAHMANI M, PAL N, ARORA K. Clustering of image data using k-means and fuzzy k-means [EB/OL]. [2015-01-09]. http://thesai.org/Downloads/Volume5No7/Paper_24-Clustering_of_Image_Data_Using_K-Means_and_Fuzzy_K-Means.pdf?iframe=true&width=100%&height=100%. [10] CHARY R, LAKSHMI D, SUNITHA K V N. Image retrieval based on image mean mapping method [C]//Proceedings of the 2014 International Conference on IEEE Contemporary Computing and Informatics. Piscataway: IEEE Press, 2014:377-382. [11] CAMPS-VALLS G, GOMEZ-CHOVA L, MUÑOZ-MARÍ J, et al. Composite kernels for hyperspectral image classification [J]. IEEE Geoscience and Remote Sensing Letters, 2006,3(1):93-97. [12] BORENSTEIN E. Weizmann horse database [DB/OL]. [2015-01-19]. http://www.msri.org/people/members/eranb/. [13] PABLO A, CHARLESS F, DAVID M. Berkeley segmentation dataset [DB/OL]. [2015-01-12]. http://www.eecs.berkeley.edu/Research/Projects/CS/vision/grouping/segbench/. [14] CHANG C, LIN C. LIBSVM [DB/OL]. [2013-12-12]. http://www.csie.ntu.edu.tw/~cjlin/libsvm/. [15] WANG S, WANG X, MA J. Semi-supervised support vector machine for image classification based on mean shift [J]. Journal of Computer Applications, 2014,34(8):2399-2403.(王朔琛, 汪西莉, 马君亮. 基于均值漂移的半监督支持向量机图像分类[J].计算机应用,2014,34(8):2399-2403.) [16] LI Y, KWOK J T, ZHOU Z. Semi-supervised learning using label mean [C]//Processing of the 26th Annual International Conference on Machine Learning. New York: ACM Press, 2009:633-640. |