Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

12

ISCAS
2005
IEEE

favoriteEmaildiscussreport

142views Hardware» more ISCAS 2005»

Hardware-based support vector machine classification in logarithmic number systems

13 years 10 months ago

Hardware-based support vector machine classification in logarithmic number systems

Download dimacs.rutgers.edu

—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.

Faisal M. Khan, Mark G. Arnold, William M. Potteng

Real-time Traffic

ISCAS 2005 | Logarithmic Number Systems | Powerful Machine-learning Tool | Vector Machine |

claim paper

Related Content

» Finite Precision Analysis of Support Vector Machine Classification in Logarithmic Number S...

» Classification using intersection kernel support vector machines is efficient

» Conotoxin Protein Classification Using Free Scores of Words and Support Vector Machines

» Mixture of Support Vector Machines for HMM based Speech Recognition

» Applying Support Vector Machines for Gene ontology based gene function prediction

» A Gaussian Belief Propagation Solver for Large Scale Support Vector Machines

» Using Support Vector Machines for Classifying Large Sets of MultiRepresented Objects

» Extraction layout analysis and classification of diagrams in PDF documents

» An SVMbased machine learning method for accurate internet traffic classification

Post Info
More Details (n/a)

Added	25 Jun 2010
Updated	25 Jun 2010
Type	Conference
Year	2005
Where	ISCAS
Authors	Faisal M. Khan, Mark G. Arnold, William M. Pottenger

Comments (0)