SU-F-R-05: Multidimensional Imaging Radiomics-Geodesics: A Novel Manifold Learning Based Automatic Feature Extraction Method for Diagnostic Prediction in Multiparametric Imaging

2016 ◽  
Vol 43 (6Part6) ◽  
pp. 3373-3374
Author(s):  
V Parekh ◽  
MA Jacobs
Keyword(s):  
Feature Extraction ◽  
Manifold Learning ◽  
Extraction Method ◽  
Feature Extraction Method ◽  
Multiparametric Imaging ◽  
Automatic Feature Extraction ◽  
Multidimensional Imaging

Simulation Research of Feature Extraction Method Based on Nonlinear Manifold Learning

2014 ◽  
Vol 533 ◽  
pp. 247-251
Author(s):  
Hai Bing Xiao ◽  
Xiao Peng Xie
Keyword(s):  
Feature Extraction ◽  
Manifold Learning ◽  
Extraction Method ◽  
Classification Performance ◽  
Locally Linear Embedding ◽  
Simulation Research ◽  
Feature Extraction Method ◽  
Linear Embedding ◽  
Nonlinear Feature Extraction ◽  
Nonlinear Feature

This paper deals with the study of Locally Linear Embedding (LLE) and Hessian LLE nonlinear feature extraction for high dimensional data dimension reduction. LLE and Hessian LLE algorithm which reveals the characteristics of nonlinear manifold learning were analyzed. LLE and Hessian LLE algorithm simulation research was studied through different kinds of sample for dimensionality reduction. LLE and Hessian LLE algorithm’s classification performance was compared in accordance with MDS. The simulation experimental results show that LLE and Hessian LLE are very effective feature extraction method for nonlinear manifold learning.

scholarly journals An automatic feature extraction method and its application in fault diagnosis

2017 ◽  
Vol 19 (4) ◽  
pp. 2521-2533 ◽  
Author(s):  
Shunming Li ◽  
Jinrui Wang ◽  
Xingxing Jiang ◽  
Chun Cheng
Keyword(s):  
Feature Extraction ◽  
Fault Diagnosis ◽  
Extraction Method ◽  
Feature Extraction Method ◽  
Automatic Feature Extraction
Sign in / Sign up

Export Citation Format

Share Document