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Advances in Artificial Intelligence: 29th Canadian by Richard Khoury, Christopher Drummond PDF

By Richard Khoury, Christopher Drummond

ISBN-10: 3319341103

ISBN-13: 9783319341101

ISBN-10: 3319341111

ISBN-13: 9783319341118

This booklet 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 provided have been rigorously reviewed and chosen from ninety seven submissions. the point of interest of the convention was once at the following matters: activities and behaviours, audio and visible popularity, traditional language processing, reasoning and studying, streams and allotted computing.

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Extra info for Advances in Artificial Intelligence: 29th Canadian Conference on Artificial Intelligence, Canadian AI 2016, Victoria, BC, Canada, May 31 - June 3, 2016. Proceedings

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Thus, according to the proposed application, it relates to solve a One-Class classification problem. As a matter of fact, for one-class SVM, it’s unnecessary for its training set to contain data patterns of impostors. The negative keystroke signatures were only collected for testing the performance of SVM classifier. After learning the authorized user’s data patterns, One-Class SVM can find the domain where his patterns probably live and impostors can be detected as outliers because their patterns are outside the domain, which is also called novelty detection.

HON4D:: histogram of oriented 4D normals for activity recognition from depth sequences. In: IEEE Conference on Computer Vision and Pattern Recognition (2013) 16. : Feature weighting in dynamic timewarping for gesture recognition in depth data. In: CVPR Workshops (CVPRW), pp. 1182– 1188. IEEE (2011) 17. : Dynamic programming algorithm optimization for spoken word recognition. IEEE Trans. Acoust. Speech Sig. Process. 26(1), 43–49 (1978) 18. : Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond.

The results were that all nine cases as modeled by the case base were at some point selected as candidate cases of matching activities, six of them were closely examined, and five were recognized as activities matching exactly the activities that were performed during the course of the day. However, the experiment uncovered a 20 T. Reichherzer et al. weakness in one of the cases, “cooking on left front burner”. The case did not include a constraint to adequately recognize an expectation failure when the resident leaves the burner on and walks away from the kitchen.

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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


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