A streaming multi-class support vector machine classification architecture for embedded systems

• Main Authors: Sirkunan, J., Tang, J. W., Shaikh Husin, N., Marsono, M. N.
• Format: Article
• Language: English
• Published: Institute of Advanced Engineering and Science 2019
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/89921/1/JeevanSirkunan2019_AStreamingMultiClassSupportVector.pdf; http://eprints.utm.my/id/eprint/89921/; https://dx.doi.org/10.11591/ijeecs.v16.i3.pp1286-1296

Pedestrian detection, face detection, speech recognition and object detection are some of the applications that have benefited from hardware-accelerated Support Vector Machine (SVM). Computational complexity of SVM classification makes it challenging for designing hardware architecture with real-tim...