Universiti Teknologi Malaysia Institutional Repository

Interleaved incremental/decremental support vector machine for embedded system

Sirkunan, Jeevan and Shaikh-Husin, N. and Marsono, M. N. (2019) Interleaved incremental/decremental support vector machine for embedded system. In: 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019, 26 - 29 May 2019, Sapporo, Japan.

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Official URL: http://dx.doi.org/10.1109/ISCAS.2019.8702745


Incremental and Decremental Support Vector Machine (IDSVM) is a widely used incremental learning algorithm that is highly accurate but requires high computational complexity. For IDSVM to be deployed in embedded systems, moving window architecture is needed to limit the number of support vectors in the model. This increases the complexity of the system as data need to be unlearned while learning new data. This work proposes an interleaved IDSVM (IIDSVM) architecture that performs incremental and decremental learning simultaneously. This work targets embedded system platform with limited on-chip memory. The proposed solution is able to get an improvement of 60%-70% in terms of speed while producing similar accuracy with IDSVM.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Embedded systems, Incremental learning, Support vector machines
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:97143
Deposited By: Widya Wahid
Deposited On:23 Sep 2022 09:43
Last Modified:23 Sep 2022 09:43

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