Title :
Log-Domain Linear SVM Classifier
Author :
L. Festila;R. Groza;M. Cirlugea;A. Fazakas
Author_Institution :
Basic of Electronics Department, Technical University Cluj Napoca, Cluj Napoca, Romania. E-mail: lelia.festila@bel.utcluj.ro
fDate :
6/1/2007 12:00:00 AM
Abstract :
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.
Keywords :
"Support vector machines","Support vector machine classification","Image classification","BiCMOS integrated circuits","Lagrangian functions","Cellular neural networks","Iron","Very large scale integration","Circuit simulation","Frequency"
Conference_Titel :
Mixed Design of Integrated Circuits and Systems, 2007. MIXDES ´07. 14th International Conference on
Print_ISBN :
83-922632-4-3
DOI :
10.1109/MIXDES.2007.4286172
