Results 171 to 180 of about 29,752 (189)

Kernel PCA

2021
B. K. Tripathy, S Anveshrithaa, Shrusti Ghela   +2 more
openaire   +1 more source

Kernel PCA and Nonlinear ASM

2012
As a nonlinear Principal Component Analysis (PCA) method, Kernel PCA (KPCA) can effectively extract nonlinear feature. For the object image which includes more nonlinear features, traditional Active Shape Model (ASM) couldn’t obtain a good result of localization.
Liu Fan, Xu Tao, Sun Tong
openaire   +1 more source

Fault detection and diagnosis of nonlinear dynamical processes through correlation dimension and fractal analysis based dynamic kernel PCA

Chemical Engineering Science, 2021
Wahiba Bounoua, Azzeddine Bakdi
exaly  

Improving kernel PCA-based algorithm for fault detection in nonlinear industrial process through fractal dimension

Chemical Engineering Research and Design, 2023
Abdelmalek Kouadri, Mohamed Faouzi Harkat, Majdi Mansouri   +2 more
exaly  

Kernel principal component analysis (PCA) control chart for monitoring mixed non-linear variable and attribute quality characteristics

Heliyon, 2022
Muhammad Ahsan, Muhammad Mashuri, Hidayatul Khusna   +2 more
exaly  

Machine Learning-Based Reduced Kernel PCA Model for Nonlinear Chemical Process Monitoring

Journal of Control, Automation and Electrical Systems, 2020
Abdelmalek Kouadri, Majdi Mansouri, Mohamed Faouzi Harkat   +2 more
exaly  

Approximations of the standard principal components analysis and kernel PCA

Expert Systems With Applications, 2010
Wenjian Wang
exaly  

A critical feature extraction by kernel PCA in stock trading model

Soft Computing, 2014
Pei-Chann Chang, Jheng-Long Wu, Chang Pei-Chann   +2 more
exaly  

Gabor-based kernel pca with fractional power polynomial models for face recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004
Chengjun Liu
exaly  

Model selection of Gaussian kernel PCA for novelty detection

Chemometrics and Intelligent Laboratory Systems, 2014
Huangang Wang
exaly