What happens in between the image and output is somewhat obscure and ... The working in a little more detail is as follows SVM is a very good algorithm for doing classification. It’s a supervised ...

Abstract: Support Vector Machine (SVM), a robust machine learning algorithm, exhibits exceptional efficacy in addressing image multi-classification challenges. This paper aims to discuss the image ...

is used to classify Images and we are trying to understand SVM and then understand how to draw a decision boundary and try to make it optimal and use it for classification. It’s a supervised learning ...

The SVM classifier is used to evaluate the final image classification accuracy. Experimental results show that our proposed relief- SVM-RFE algorithm can achieve significant improvements for feature ...

Department of Communications, College of Electrical Engineering, Yadegar-e-Imam Khomeini (RAH) Shahr-e-Rey Branch, Islamic Azad University, Tehran, Iran.

Support Vector Machines (SVMs) are a powerful and versatile supervised machine learning algorithm primarily used for classification and regression ... The core principle behind SVM is to identify the ...

algorithm is proposed to improve medical CT image classification accuracy and solve SVM parameter optimization problem in the classifier. Firstly, HS algorithm has strong search capabilities for ...