Hardware-based support vector machine classification in logarithmic number systems

—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 considerable hardware savings are achieved with no significant loss in classification accuracy.

• Type: Conference
• Year: 2005
• Where: ISCAS
• Authors: Faisal M. Khan, Mark G. Arnold, William M. Pottenger
• Keywords: ISCAS 2005, Logarithmic Number Systems, Powerful Machine-learning Tool, Vector Machine