Results 11 to 20 of about 3,257 (211)

Essence of kernel Fisher discriminant: KPCA plus LDA

Pattern Recognition, 2004
In this paper, the method of kernel Fisher discriminant (KFD) is analyzed and its nature is revealed, i.e., KFD is equivalent to kernel principal component analysis (KPCA) plus Fisher linear discriminant analysis (LDA).
Yang, J., Jing-yu Yang, David Zhang, Jian Yang, Zhong Jin, Jin, Z., Yang, J. Y., Zhang, D., Zhang, D, Alejandro F. Frangi, Frangi, A. F.; id_orcid, Jin, Z, Frangi, AF, Yang, J, Yang, JY   +13 more
core   +3 more sources

Enhancing Fault Detection in Stochastic Environments Using Interval-Valued KPCA: A Cement Rotary Kiln Case Study

IEEE Access
Fault detection in industrial processes is challenging due to significant data uncertainty, which complicates the accurate modeling of interval-valued data and the quantification of errors necessary for reliable detection.
Abdelhalim Louifi, Abdelmalek Kouadri, Mohamed-Faouzi Harkat, Abderazak Bensmail, Majdi Mansouri   +4 more
doaj   +2 more sources

EVALUATE DISSIMILARITY OF SAMPLES IN FEATURE SPACE FOR IMPROVING KPCA [PDF]

International Journal of Information Technology & Decision Making, 2011
Since in the feature space the eigenvector is a linear combination of all the samples from the training sample set, the computational efficiency of KPCA-based feature extraction falls as the training sample set grows.
JINGYU YANG, DAVID ZHANG, JIAN YANG, JIN ZHONG, XU YONG   +4 more
core   +3 more sources

Fault condition recognition of rolling bearing in bridge crane based on PSO–KPCA

MATEC Web of Conferences, 2017
When the rolling bearing in bridge crane gets out of order and often accompanies with occurrence of nonlinear behaviours, its fault information is weak and it is difficult to extract fault features and to distinguish diverse failure modes.
He Yan, Wang Zongyan
doaj   +2 more sources

Improved KPCA for outlier detection in Wireless Sensor Networks

2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2014
International audienceIn Wireless Sensor Networks (WSNs), the accuracy of sensor readings is without a doubt one of the most important measures to evaluate the quality of a sensor and its network.
Snoussi, Hichem, Mohamed Abid, Oussama Ghorbel, Abid, Mohamed, Ghorbel, Oussama, Hichem Snoussi   +5 more
core   +4 more sources

A Novel Method on Recognizing Drum Load of Elastic Tooth Drum Pepper Harvester Based on CEEMDAN-KPCA-SVM

Agriculture
The operational complexities of the elastic tooth drum pepper harvester (ETDPH), characterized by variable drum loads that are challenging to recognize due to varying pepper densities, significantly impact pepper loss rates and mechanical damage.
Xinyu Zhang, Xinyan Qin, Jin Lei, Zhiyuan Zhai, Jianglong Zhang, Zhi Wang   +5 more
doaj   +2 more sources

Semi-Supervised KPCA-Based Monitoring Techniques for Detecting COVID-19 Infection through Blood Tests

Diagnostics, 2023
This study introduces a new method for identifying COVID-19 infections using blood test data as part of an anomaly detection problem by combining the kernel principal component analysis (KPCA) and one-class support vector machine (OCSVM).
Fouzi Harrou, Abdelkader Dairi, Abdelhakim Dorbane, Farid Kadri, Ying Sun   +4 more
doaj   +2 more sources

A dynamic prediction method for coal seam thickness based on the KPCA-PSO-SVR model

Meitian dizhi yu kantan
Objectives and MethodsWith the development of high-precision and intelligent seismic exploration techniques, it is necessary to accurately quantify and interpret coal seam thickness to provide reliable data for constructing high-precision three ...
Tun YANG, Shugang YE, Ming MA, Qianyao WANG   +3 more
doaj   +2 more sources

An Improved Short-Term Electricity Load Forecasting Method: The VMD–KPCA–xLSTM–Informer Model

Energies
This paper proposes a hybrid forecasting method (VMD–KPCA–xLSTM–Informer) based on variational-mode decomposition (VMD), kernel principal component analysis (KPCA), extended long short-term memory network (xLSTM), and the Informer model.
Jiawen You, Huafeng Cai, Dadian Shi, Liwei Guo   +3 more
doaj   +2 more sources

Research on the Prediction of Green Plum Acidity Based on Improved XGBoost

Sensors, 2021
The acidity of green plum has an important influence on the fruit’s deep processing. Traditional physical and chemical analysis methods for green plum acidity detection are destructive, time-consuming, and unable to achieve online detection. In response,
Yang Liu, Honghong Wang, Yeqi Fei, Ying Liu, Luxiang Shen, Zilong Zhuang, Xiao Zhang   +6 more
doaj   +1 more source