Hardware-Based Support Vector Machine Classification in Logarithmic Number Systems
Faisal M. Khan, Mark G. Arnold, William M. Pottenger · 2005
Support vector machines are emerging as a powerful machine-learning tool. Logarithmic number systems (LNS) utilize the property of logarithmic compression for numerical operations. We present an implementation of a digital support vector machine (SVM) classifier using LNS in which, when compared with other implementations, considerable hardware savings are achieved with no significant loss in classification accuracy.