709 search results - page 3 / 142 » Dynamically Adapting Kernels in Support Vector Machines |
GECCO
2005
Springer
14 years 26 days ago
2005
Springer
In support vector machines (SVM), the kernel functions which compute dot product in feature space significantly affect the performance of classifiers. Each kernel function is suit...
ASC
2008
13 years 7 months ago
2008
A dynamic classification using the support vector machine (SVM) technique is presented in this paper as a new `incremental' framework for multiple-classifying video stream da...
ICPR
2010
IEEE
13 years 7 months ago
2010
IEEE
The incremental updating of classifiers implies that their internal parameter values can vary according to incoming data. As a result, in order to achieve high performance, incre...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
This paper presents Support Vector Machine (SVM) with local summation kernel for robust face recognition. In recent years, the effectiveness of SVM and local features is reported....
AUTOMATICA
2005
13 years 7 months ago
2005
This paper studies a method for the identification of Hammerstein models based on Least Squares Support Vector Machines (LS-SVMs). The technique allows for the determination of th...