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NIPS
2000
13 years 9 months ago
Incremental and Decremental Support Vector Machine Learning
An on-line recursive algorithm for training support vector machines, one vector at a time, is presented. Adiabatic increments retain the KuhnTucker conditions on all previously se...
Gert Cauwenberghs, Tomaso Poggio
IJCNN
2007
IEEE
14 years 1 months ago
A Hardware-friendly Support Vector Machine for Embedded Automotive Applications
— We present here a hardware–friendly version of the Support Vector Machine (SVM), which is useful to implement its feed–forward phase on limited–resources devices such as ...
Davide Anguita, Alessandro Ghio, Stefano Pischiutt...
ICDM
2006
IEEE
118views Data Mining» more  ICDM 2006»
14 years 1 months ago
Generalizing Version Space Support Vector Machines for Non-Separable Data
Although version space support vector machines (VSSVMs) are a successful approach to reliable classification [6], they are restricted to separable data. This paper proposes gener...
Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, Ni...
AC
2001
Springer
14 years 2 days ago
Support Vector Machines: Theory and Applications
This paper presents a summary of the issues discussed during the one day workshop on "Support Vector Machines (SVM) Theory and Applications" organized as part of the Adv...
Theodoros Evgeniou, Massimiliano Pontil
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