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» Support Vector Machines for Multi-class Classification
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DSD
2004
IEEE
106views Hardware» more  DSD 2004»
13 years 11 months ago
Finite Precision Analysis of Support Vector Machine Classification in Logarithmic Number Systems
In this paper we present an analysis of the minimal hardware precision required to implement Support Vector Machine (SVM) classification within a Logarithmic Number System archite...
Faisal M. Khan, Mark G. Arnold, William M. Potteng...
AVBPA
2001
Springer
128views Biometrics» more  AVBPA 2001»
13 years 11 months ago
Fingerprint Classification with Combinations of Support Vector Machines
Abstract. We report about some experiments on the fingerprint database NIST-4 using different combinations of Support Vector Machine (SVM) classifiers. Images have been preprocesse...
Yuan Yao, Paolo Frasconi, Massimiliano Pontil
DMIN
2009
132views Data Mining» more  DMIN 2009»
13 years 5 months ago
Understanding Support Vector Machine Classifications via a Recommender System-Like Approach
Support vector machines are a valuable tool for making classifications, but their black-box nature means that they lack the natural explanatory value that many other classifiers po...
David Barbella, Sami Benzaid, Janara M. Christense...
AAAI
2008
13 years 10 months ago
In-the-Dark Network Traffic Classification Using Support Vector Machines
This work addresses the problem of in-the-dark traffic classification for TCP sessions, an important problem in network management. An innovative use of support vector machines (S...
William H. Turkett Jr., Andrew V. Karode, Errin W....
MICCAI
2002
Springer
14 years 8 months ago
Comparative Exudate Classification Using Support Vector Machines and Neural Networks
After segmenting candidate exudates regions in colour retinal images we present and compare two methods for their classification. The Neural Network based approach performs margina...
Alireza Osareh, Majid Mirmehdi, Barry T. Thomas, R...