Linear and Nonlinear Classifiers of Data with Support Vector Machines and Generalized Support Vector Machines

2016 ◽  
pp. 377-396
Author(s):  
Talat Nazir ◽  
Xiaomin Qi ◽  
Sergei Silvestrov
Keyword(s):  
Support Vector Machines ◽  
Support Vector ◽  
Vector Machines ◽  
Linear And Nonlinear

scholarly journals Training a Support Vector Machine in the Primal

2007 ◽  
Vol 19 (5) ◽  
pp. 1155-1178 ◽  
Author(s):  
Olivier Chapelle
Keyword(s):  
Support Vector Machine ◽  
Support Vector Machines ◽  
Large Scale ◽  
Optimization Problem ◽  
Point Of View ◽  
Support Vector ◽  
Primal Problem ◽  
Vector Machines ◽  
Linear And Nonlinear

Most literature on support vector machines (SVMs) concentrates on the dual optimization problem. In this letter, we point out that the primal problem can also be solved efficiently for both linear and nonlinear SVMs and that there is no reason for ignoring this possibility. On the contrary, from the primal point of view, new families of algorithms for large-scale SVM training can be investigated.

Soft Biometrics Classification Using Denoising Convolutional Autoencoders and Support Vector Machines

2018 ◽  
Author(s):  
Nelson Marcelo Romero Aquino ◽  
Matheus Gutoski ◽  
Leandro Takeshi Hattori ◽  
Heitor Silvério Lopes
Keyword(s):  
Support Vector Machines ◽  
Support Vector ◽  
Soft Biometrics ◽  
Vector Machines
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