Zhu Xiaojin. Semi-Supervised Learning Literature Survey. Computer Sciences Technical Report, 1530. Madison, USA: University of Wisconsin, 2008
[2]
Zhu Xiaojin, Ghahramani Z, Lafferty J. Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions // Proc of the 20th International Conference on Machine Learning. Washington, USA, 2003: 912-919
[3]
Zhou Dengyong, Olivier B, Lal T N, et al. Learning with Local and Global Consistency // Thrun S, Saul L K, Schlkopf B, eds. Advances in Neural Information Processing Systems. Cambridge, USA: MIT Press, 2004, XVI: 321-328
[4]
Qi Guojun, Hua Xiansheng, Rui Yong, et al. Correlative Multi-Label Video Annotation // Proc of the 15th International Conference on Multimedia. Augsburg, Germany, 2007: 17-26
[5]
Chen Gang, Song Yanqiu, Wang Fei, et al. Semi-Supervised Multi-Label Learning by Solving a Sylvester Equation // Proc of the 8th SIAM Conference on Data Mining. Atlanta, USA, 2008: 410-419
[6]
Liu Yi, Jin Rong, Yang Liu. Semi-Supervised Multi-Label Learning by Constrained Non-Negative Matrix Factorization // Proc of the 21st National Conference on Artificial Intelligence. Saint Paul, USA, 2006, I: 421-426
[7]
Wang Jingdong, Zhao Yinghai, Wu Xiuqing, et al. Transductive Multi-Label Learning for Video Concept Detection // Proc of the 1st ACM International Conference on Multimedia Information Retrieval. Vancouver, Canada, 2008: 298-304
[8]
Roweis S T, Saul L K. Nonlinear Dimensionality Reduction by Locally Linear Embedding. Science, 2000, 290(5500): 2323-2326
[9]
Wang Fei, Zhang Changshui. Label Propagation through Linear Neighborhoods // Proc of the 23rd International Conference on Machine Learning. Edinburgh, UK, 2006: 985-992
[10]
Rao R P N, Olshausen B A, Lewicki M S. Probabilistic Models of the Brain: Perception and Neural Function. Cambridge, USA: MIT Press, 2002
[11]
Wright J, Yang A, Ganesh A, et al. Robust Face Recognition via Sparse Representation. IEEE Trans on Pattern Analysis and Machine Intelligence, 2009, 31(2): 210-227
[12]
Tang Jinhui, Yan Shuicheng, Hong Richang, et al. Inferring Semantic Concepts from Community-Contributed Images and Noisy Tags // Proc of the 17th ACM International Conference on Multimedia. Beijing, China, 2009: 223-232
[13]
Liu Xiaobai, Cheng Bin, Yan Shuicheng, et al. Label to Region by Bi-Layer Sparsity Priors // Proc of the 17th ACM International Conference on Multimedia. Beijing, China, 2009: 115-124
[14]
Candes E, Rudelson M, Tao T, et al. Error Correction via Linear Programming // Proc of the 46th Annual IEEE Symposium on Foundations of Computer Science. Pittsburgh, USA, 2005: 295-308
[15]
Donoho D L. For Most Large Underdetermined Systems of Linear Equations the Minimal l1-Norm Solution is also the Sparsest Solution. Communications on Pure and Applied Mathematics, 2004, 59(7): 907-934
[16]
Vapnik V N. Statistical Learning Theory. New York, USA: Wiley, 1998
[17]
Boykov Y, Kolmogorov V. An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision. IEEE Trans on Pattern Analysis and Machine Intelligence, 2004, 26(9): 1124-1137
[18]
Kolmogorov V. Convergent Tree-Reweighted Message Passing for Energy Minimization. IEEE Trans on Pattern Analysis and Machine Intelligence, 2006, 28(10): 1568-1583
Zha Zhengjun, Mei Tao, Wang Jingdong, et al. Graph-Based Semi-Supervised Learning with Multi-Label // Proc of the IEEE International Conference on Multimedia and Exposition. Hannover, Germany, 2008: 1321-1324