By Richard Khoury, Christopher Drummond
This booklet constitutes the refereed lawsuits 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 was once at the following topics: activities and behaviours, audio and visible attractiveness, usual language processing, reasoning and studying, streams and allotted computing.
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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. , Schmid, C. ) ECCV 2012, Part II. LNCS, vol. 7573, pp. 872–885. Springer, Heidelberg (2012) 25.
3 Theory and Approach We focus on the problem of detecting if a longliner vessel is in the state of ﬁshing vs. non-ﬁshing. The following describes our approaches and methods. For details please see . 1 A Sliding Window Approach We divide a ship trajectory into a sequence of discrete window segments (see Fig. 1). We hope that a window can provide useful context information to aid the classiﬁcation for a particular data point. While training a model, the label of a window is given by the label of the middle data point from this window.
LNCS, vol. 3320, pp. 666–669. Springer, Heidelberg (2005) 10. : Estimating the support of a high-dimensional distribution. Neural Comput. 13(7), 1443–1471 (2001) 11. : A survey of keystroke dynamics biometrics. Sci. World J. 2013, 24 (2013). 1155/2013/408280. Article ID: 408280 12. : Novelty detection approach for keystroke dynamics identity veriﬁcation. , Yin, H. ) Intelligent Data Engineering and Automated Learning. LNCS, vol. 2690, pp. 1016–1023. Springer, Heidelberg (2003) Fishing Activity Detection from AIS Data Using Autoencoders Xiang Jiang1 , Daniel L.
Advances in Artificial Intelligence: 29th Canadian Conference on Artificial Intelligence, Canadian AI 2016, Victoria, BC, Canada, May 31 - June 3, 2016. Proceedings by Richard Khoury, Christopher Drummond