Abstract
In this paper, we present the Kernel Subclass Support Vector Data Description classifier. We focus on face recognition and human action recognition applications, where we argue that sub-classes are formed within the training class. We modify the standard SVDD optimization problem, so that it exploits subclass information in its optimization process. We extend the proposed method to work in feature spaces of arbitrary dimensionality. We evaluate the proposed method in publicly available face recognition and human action recognition datasets. Experimental results have shown that increased performance can be obtained by employing the proposed method.
Original language | English |
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Title of host publication | 2016 First International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE 2016) |
Subtitle of host publication | Proceedings of a meeting held 6-8 July 2016, Aalborg, Denmark |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Number of pages | 5 |
ISBN (Electronic) | 9781467389174 |
ISBN (Print) | 9781467389181 |
DOIs | |
Publication status | Published - Aug 2016 |
Event | International Workshop on Sensing, Processing and Learning for Intelligent Machines - Aalborg, Denmark Duration: 6 Jul 2016 → 8 Jul 2016 |
Conference
Conference | International Workshop on Sensing, Processing and Learning for Intelligent Machines |
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Abbreviated title | SPLINE |
Country/Territory | Denmark |
City | Aalborg |
Period | 6/07/16 → 8/07/16 |