Segmentation of Magnetic Resonance Imaging MRI using LS-SVM and Wavelet Multiresolution Analysis

Currently, support vector machines (SVM) have become a powerful tool to solve nonlinear classification problems. For the optimization of the tool, has developed a reformulation known as LS-SVM (Support Vector Machine least squares), which works with a model based on function minimization and Lagrang...

詳細記述

書誌詳細

出版年:	TecnoLógicas
主要な著者:	Luis A. Muñoz-Bedoya, Luis E. Mendoza, Hernando J. Velandia-Villamizar
フォーマット:	論文
言語:	英語
出版事項:	Instituto Tecnológico Metropolitano 2013-11-01
主題:	Kernel LS-SVM optimización segmentación wavelet madre.
オンライン･アクセス:	http://itmojs.itm.edu.co/index.php/tecnologicas/article/view/486