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Kernel Support Vector Machines and Convolutional Neural Networks

Jiang, Shihao; Hartley, Richard; Fernando, Basura


Convolutional Neural Networks (CNN) have achieved great success in various computer vision tasks due to their strong ability in feature extraction. The trend of development of CNN architectures is to increase their depth so as to increase their feature extraction ability. Kernel Support Vector Machines (SVM), on the other hand, are known to give optimal separating surfaces by their ability to automatically select support vectors and perform classification in higher dimensional spaces. We...[Show more]

CollectionsANU Research Publications
Date published: 2018
Type: Conference paper
Book Title: 2018 Digital Image Computing: Techniques and Applications (DICTA)
DOI: 10.1109/DICTA.2018.8615840
Access Rights: Open Access


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