New PDF release: Advances in Artificial Intelligence: 29th Canadian

By Richard Khoury, Christopher Drummond

This ebook constitutes the refereed court cases of the twenty ninth Canadian convention on man made Intelligence, Canadian AI 2016, held in Victoria, BC, Canada, in May/June 2016. The 12 complete papers and 27 brief papers awarded have been conscientiously reviewed and chosen from ninety seven submissions. the focal point of the convention used to be at the following matters: activities and behaviours, audio and visible attractiveness, typical language processing, reasoning and studying, streams and disbursed computing.

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Future Gener. Comput. Syst. 16(4), 351–359 (2000) 7. : A systematic review on keystroke dynamics. J. Braz. Comput. Soc. 19(4), 573–587 (2013) 8. : Computer user verification using login string keystroke dynamics. IEEE Trans. Syst. Man Cybern. Part A: Syst. Hum. 28(2), 236–241 (1998) 9. : Novel impostors detection in keystroke dynamics by support vector machine. , Horiguchi, S. ) Parallel and Distributed Computing: Applications and Technologies. LNCS, vol. 3320, pp. 666–669. Springer, Heidelberg (2005) 10.

A statistical study of correlation with distribution characteristics allows us to point out that different behaviours between persons have an influence on the recognition. For example, we can compare the distributions of two IDULs which present different performances. As we see in Fig. 6a, the IDUL #7, which has mono-modal and concentrated distribution within a single keystoke, gets a very good recognition rate. Whereas, if the distribution appears multi-modal and dispersed for a single time feature as shown in Fig.

842–849. IEEE (2012) 21. : Illusory conjunctions in the perception of objects. Cogn. Psychol. 14(1), 107–141 (1982) 22. : STOP: space-time occupancy patterns for 3D action recognition from depth map sequences. , Jacobo, J. ) CIARP 2012. LNCS, vol. 7441, pp. 252–259. Springer, Heidelberg (2012) 23. : Action recognition by dense trajectories. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 3169–3176. IEEE (2011) 24. : Robust 3D action recognition with random occupancy patterns.

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