Abstract: In this paper, we propose a new approach for speeding up the decision making of support vector classifiers (SVC) in the context of multi-class ...
In this paper, we propose a new approach for speeding up the decision making of support vector classifiers (SVC) in the context of multi-class ...
In this paper, we propose a new approach for speeding up the decision making of support vector classifiers (SVC) in the context of multi-class ...
In this paper, we propose a new approach for speeding up the decision making of Support Vector Classifiers (SVC) in the context of multi-class ...
Speeding up the decision making of support vector classifiers. Milgram, Jonathan, Cheriet, Mohamed et Sabourin, Robert. 2004. « Speeding up the decision ...
Bibliographic details on Speeding up the decision making of support vector classifiers.
Abstract: Several methods for reducing the running time of support vector machines (SVMs) are compared in terms of speed-up factor and classification accuracy ...
Jul 19, 2018 · The most likely explanation is that you're using too many training examples for your SVM implementation. SVMs are based around a kernel ...
Missing: making | Show results with:making
In this paper, we proposed a method to speed up the test phase of SVM based on Feature Vector Selection method (FVS). In the method, the support vectors ...
Missing: making classifiers.
We propose here an incremental procedure for Growing Support Vector Classifiers, which serves to avoid an a priori architecture estimation or the application of ...