Log-Domain Linear SVM Classifier

We develop in this paper support vector machine (SVM) parallel classifier for image classifications. The SVM classifier basic modules are new modular log-domain four-quadrant current multipliers. The circuit was simulated taking into account real parameters of transistors in BiCMOS technology. There...

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Bibliographic Details
Main Authors: Festila, L., Groza, R., Cirlugea, M., Fazakas, A.
Format: Conference Proceeding
Language:English
Subjects:
Analog multipliers
BiCMOS integrated circuits
Cellular neural networks
Circuit simulation
Classifier
Frequency
Image classification
Iron
Lagrangian functions
Log-domain
Support vector machine classification
Support vector machines
Very large scale integration
VLSI architectures
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Description
Summary:We develop in this paper support vector machine (SVM) parallel classifier for image classifications. The SVM classifier basic modules are new modular log-domain four-quadrant current multipliers. The circuit was simulated taking into account real parameters of transistors in BiCMOS technology. There are many advantages of using such modular log-domain structures in high frequency large dimension circuits and designs.
DOI:10.1109/MIXDES.2007.4286172