Publication
Title
Kernel subclass support vector description for face and human action recognition
Author
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.
Language
English
Source (book)
2016 First International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE), 06-08 July, 2016, Aalborg, Denmark
Publication
New york : 2016
ISBN
978-1-4673-8917-4
DOI
10.1109/SPLIM.2016.7528409
Volume/pages
(2016) , 5 p.
ISI
000390709400019
Full text (Publisher's DOI)
UAntwerpen
Publication type
Subject
External links
Web of Science
Record
Identifier
Creation 17.10.2023
Last edited 17.06.2024
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