Search Results - Parallel PCA–KPCA

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  1. 1

    Parallel PCAKPCA for nonlinear process monitoring by Jiang, Qingchao, Yan, Xuefeng

    ISSN: 0967-0661, 1873-6939
    Published: Elsevier Ltd 01.11.2018
    Published in Control engineering practice (01.11.2018)
    “… This paper proposes a parallel PCAKPCA (P-PCAKPCA) modeling and monitoring scheme that incorporates randomized algorithm (RA…”
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    Journal Article
  2. 2

    Multi-fault diagnosis for series-connected lithium-ion battery pack with reconstruction-based contribution based on parallel PCA-KPCA by Ma, Mina, Li, Xiaoyu, Gao, Wei, Sun, Jinhua, Wang, Qingsong, Mi, Chris

    ISSN: 0306-2619, 1872-9118
    Published: Elsevier Ltd 15.10.2022
    Published in Applied energy (15.10.2022)
    “…•The contribution-based PCA is adopted to detect the fault of the battery.•The reconstruction-based parallel PCA-KPCA is used to estimate the fault waveform…”
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  3. 3

    Image classification with parallel KPCAPCA network by Yang, Feng, Ma, Zheng, Xie, Mei

    ISSN: 0824-7935, 1467-8640
    Published: Hoboken Blackwell Publishing Ltd 01.04.2022
    Published in Computational intelligence (01.04.2022)
    “…) to construct a deep learning model named parallel KPCAPCA network (PK‐PCANet). In the proposed model, both of the given PCA and KPCA algorithm are aiming to calculate the filters that will be used in the following convolution layers…”
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    Journal Article
  4. 4

    Comprehensive Monitoring of Complex Industrial Processes with Multiple Characteristics by Xu, Chenxing, Yasenjiang, Jiarula, Cui, Pengfei, Zhang, Shengpeng, Zhang, Xin

    ISSN: 1687-806X, 1687-8078
    Published: New York Hindawi 2022
    “… To address this problem, a hybrid fault detection model based on PCA-KPCA-ICA-KICA-BI (Bayesian inference) is proposed, taking into account the advantages of principal component analysis…”
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  5. 5

    Combined Fisherfaces framework by Yang, Jian, Yang, Jing-yu, Frangi, Alejandro F.

    ISSN: 0262-8856, 1872-8138
    Published: Elsevier B.V 01.11.2003
    Published in Image and vision computing (01.11.2003)
    “… In this framework, Principal Component Analysis (PCA) and Kernel PCA (KPCA) are first used for feature extraction…”
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  6. 6

    AN EMPIRICAL STUDY OF DIMENSIONALITY REDUCTION IN SUPPORT VECTOR MACHINE by Cao, L J, Zhang JingQing, Cai Zongwu, Lim Kian Guan

    ISSN: 1210-0552, 2336-4335
    Published: Prague Institute of Computer Science 01.01.2006
    Published in Neural network world (01.01.2006)
    “… By examining the sunspot data, Santa Fe data set A and five real futures contracts, the experiment shows that SVM by feature extraction using PCA, KPCA or ICA can perform better than that without…”
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  7. 7

    Model Selection for Gaussian Kernel PCA Denoising by Jorgensen, K. W., Hansen, L. K.

    ISSN: 2162-237X, 2162-2388
    Published: New York, NY IEEE 01.01.2012
    “…We propose kernel parallel analysis (kPA) for automatic kernel scale and model order selection in Gaussian kernel principal component analysis (KPCA…”
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