［1］MOKHBER A, ACHARD C, MILGRAM M. Recognition of human behavior by spacetime silhouette characterization[J]. Pattern Recognition Letters, 2008, 29(1): 8189.
［2］POLAT E, YEASIN M, SHARMA R. Robust tracking of human body parts for collaborative human computer interaction[J]. Computer Vision and Image Understanding, 2003, 89(1): 4469.
［3］LEWIS C, BRAND C, CHERRY G, et al. Adapting user interface design methods to the design of educational activities[M]//Proceedings of the SIGCHI conference on human factors in computing systems. New York, NY, US:ACM Press/AddisonWesley Publishing Co., 1998: 619626.
［4］AYERS D, SHAH M. Monitoring human behavior from video taken in an office environment[J]. Image and Vision Computing, 2001, 19(12): 833846.
［5］周志华,王珏.机器学习及其应用[M].北京：清华大学出版社,2007.
［6］BLUM A, MITCHELL T. Combining labeled and unlabeled data with cotraining[M]//Proceedings of the eleventh annual conference on Computational learning theory. New York, NY, US：ACM, 1998: 92100.
［7］NIGAM K, GHANI R. Analyzing the effectiveness and applicability of cotraining[M]//Proceedings of the ninth international conference on Information and knowledge management. New York, NY, US：ACM, 2000: 8693.
［8］BALCAN M F, BLUM A, YANG K. Cotraining and expansion: Towards bridging theory and practice[C]// Proceedings of the 17th international conference on neural information processing systems. Cambridge, MA, US: MIT Press ,2004: 8996.
［9］SARKAR A. Applying cotraining methods to statistical parsing[C]//Proceedings of the second meeting of the North American chapter of the association for computational linguistics on language technologies. Stroudsburg, PA, US ：Association for Computational Linguistics, 2001: 18.
［10］PIERCE D, CARDIE C. Limitations of cotraining for natural language learning from large datasets[EB/OL].[20170304].. http://www.aclweb.org/anthology/W010501.
［11］ABNEY S.Bootstrapping[EB/OL].[20170304]. http://delivery.acm.org/10.1145/1080000/1073143/p360abney.pdf?ip=218.
57.145.1&id=1073143&acc=OPEN&key=4D4702B0C3E38B35%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35%2E6D2181445
11F3437&CFID=841997444&CFTOKEN=14396075&__acm__=1513668499_91c8cfe6ab532cfec81740b5270b979c.
［12］LI Y, TAO D P, LIU W F, et al. Coregularization for classification[C]// Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics (SPAC). [S.l.]:IEEE, 2014: 218222.
［13］CORINNA C, VAPNIK V. Supportvector networks[J]. Machine learning, 1995, 20(3): 273297.
［14］BELKIN M, NIYOGI P. Laplacian eigenmaps and spectral techniques for embedding and clustering [EB/OL].[20170304]. http://papers.nips.cc/paper/1961laplacianeigenmapsandspectraltechniquesforembeddingandclustering.pdf .
［15］BELKIN M, NIYOGI P, SINDHWANI V. Manifold regularization: a geometric framework for learning from labeled and unlabeled examples[J]. Journal of Machine Learning Research, 2006,7:23992434.
［16］CHAPELLE O, SCH18LKOPF B, ZIEN A. Semisupervised learning using semidefinite programming[M].  Cambridge, MA, US: MIT Press, 2006.
［17］SHAHSHAHANI B M, LANDGREBE D A. The effect of unlabeled samples in reducing the small sample size problem and mitigating the Hughes phenomenon[J]. IEEE transactions on geoscience and remote sensing,  1994, 32(5): 10871095.
［18］WARDETZKY M，MATHUR S，KALBERER F，et al． Discrete laplace operators：No free lunch[EB/OL].[20170304]. http://www3.math.tuberlin.de/geometrie/Lehre/SS12/MathVisII/nofreelunch.pdf .
［19］WU Y, CHANG E Y, CHANG K C C, et al. Optimal multimodal fusion for multimedia data analysis[C]//Proceedings of the 12th annual ACM international conference on Multimedia. New York, NY, US： ACM, 2004: 572579.