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International Journal of Computer Engineering in Research Trends. Scholarly, Peer-Reviewed,Open Access and Multidisciplinary
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[1] M. Albanese, V. Moscato, A. Picariello, V. S. Subrahmanian, and O. Udrea, “Detecting stochastically scheduled activities in video,†in Proc. IJCAI, M. M. Veloso, Ed. San Francisco, CA, USA, 2007, pp. 1802– 1807. [2] S. Lühr, H. H. Bui, S. Venkatesh, and G. A. W. West, “Recognition of human activity through hierarchical stochastic learning,†in Proc. PerCom., Fort Worth, TX, USA, Mar. 2003, pp. 416–422. [3] T. Duong, H. Bui, D. Phung, and S. Venkatesh, “Activity recognition and abnormality detection with the switching hidden semi-Markov model,†in Proc. IEEE CVPR, Washington, DC, USA, 2005. [4] T. V. Duong, D. Q. Phung, H. H. Bui, and S. Venkatesh, “Efficient duration and hierarchical modeling for human activity recognition,†Artif. Intell., vol. 173, no. 7–8, pp. 830–856, May 2009. [5] R. Hamid, Y. Huang, and I. Essa, “ARGMode activity recognition using graphical models,†in Proc. IEEE CVPR, Madison, WI, USA, 2003. [6] M. Albanese, S. Jajodia, A. Pugliese, and V. S. Subrahmanian, “Scalable analysis of attack scenarios,†in Proc. ESORICS, Leuven, Belgium, 2011, pp. 416–433. [7] M. L. Fredman and R. E. Tarjan, “Fibonacci heaps and their uses in improved network optimization algorithms,†in Proc. FOCS, 1984, pp. 338–346. [8] G. Palshikar and M. Apte, “Collusion set detection using graph clustering,†Data Knowl. Eng., vol. 16, no. 1, pp. 135–164, 2008. [9] M. Albanese, A. Pugliese, and V. S. Subrahmanian, “Fast activity detection: Indexing for temporal stochastic automaton-based activity models,†IEEE Trans. Knowl. Data Eng., vol. 25, no. 2, pp. 360–373, Feb. 2013.
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