Enhanced change detection using nonlinear feature extraction

2012 ◽  
Author(s):  
Michele Volpi ◽  
Giona Matasci ◽  
Devis Tuia ◽  
Mikhail Kanevski
Keyword(s):  
Feature Extraction ◽  
Change Detection ◽  
Nonlinear Feature Extraction ◽  
Nonlinear Feature

A New Method of Nonlinear Feature Extraction for Multi-Fault Diagnosis of Rotor Systems

2010 ◽  
Vol 41 (10) ◽  
pp. 29-37 ◽  
Author(s):  
Zhixiong Li ◽  
Xinping Yan ◽  
Chengqing Yuan ◽  
Jiangbin Zhao ◽  
Zhongxiao Peng
Keyword(s):  
Feature Extraction ◽  
Fault Diagnosis ◽  
New Method ◽  
Rotor Systems ◽  
Nonlinear Feature Extraction ◽  
Nonlinear Feature

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.

Surface EMG Based Hand Manipulation Identification Via Nonlinear Feature Extraction and Classification

2013 ◽  
Vol 13 (9) ◽  
pp. 3302-3311 ◽  
Author(s):  
Zhaojie Ju ◽  
Gaoxiang Ouyang ◽  
Marzena Wilamowska-Korsak ◽  
Honghai Liu
Keyword(s):  
Feature Extraction ◽  
Surface Emg ◽  
Nonlinear Feature Extraction ◽  
Nonlinear Feature
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