Showing 121 - 140 results of 3,097 for search '"discrimination"', query time: 0.07s Refine Results
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    Classification of Error-Diffused Halftone Images Based on Spectral Regression Kernel Discriminant Analysis by Zhigao Zeng, Zhiqiang Wen, Shengqiu Yi, Sanyou Zeng, Yanhui Zhu, Qiang Liu, Qi Tong

    Published 2016-01-01
    “…Then, the spectral regression kernel discriminant analysis is used for feature dimension reduction. …”
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    Article
  3. 123

    Research on Discriminative Skeleton-Based Action Recognition in Spatiotemporal Fusion and Human-Robot Interaction by Qiubo Zhong, Caiming Zheng, Haoxiang Zhang

    Published 2020-01-01
    “…Besides, the local posture motion-based channel attention module (LPM-CAM) is introduced to make use of the strongly discriminative representation between different action classes of similarity. …”
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    Discriminative training of spiking neural networks organised in columns for stream‐based biometric authentication by Enrique Argones Rúa, Tim Vanhamme, Davy Preuveneers, Wouter Joosen

    Published 2022-09-01
    “…One of the challenges when using SNNs is the discriminative training of the network since it is not straightforward to apply the well‐known error backpropagation (EBP), massively used in traditional artificial neural networks (ANNs). …”
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  6. 126

    Visible Discrimination of Broadband Infrared Light by Dye-Enhanced Upconversion in Lanthanide-Doped Nanocrystals by Charles G. Dupuy, Thomas L. Allen, George M. Williams, David Schut

    Published 2014-01-01
    “…In this work, we extend the role of the optical antenna to provide false-color, visible discrimination between bands of infrared radiation. By pairing different optical antenna dyes to specific nanoparticle compositions, unique visible emission is associated with different bands of infrared excitation. …”
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    Discrimination of Melanoma Using Laser-Induced Breakdown Spectroscopy Conducted on Human Tissue Samples by Muhammad Nouman Khan, Qianqian Wang, Bushra Sana Idrees, Geer Teng, Xutai Cui, Kai Wei

    Published 2020-01-01
    “…Chemometric methods, artificial neural network (ANN), linear discriminant analysis (LDA), quadratic discriminant analysis (QDA), and partial least square discriminant analysis (PLS-DA) are used to build the classification models. …”
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    Discriminating the Geographical Origins of Chinese White Lotus Seeds by Near-Infrared Spectroscopy and Chemometrics by Lu Xu, Chen-Bo Cai, Yuan-Bin She, Li-Juan Chen

    Published 2015-01-01
    “…Three chemometrics methods, discrimination analysis (DA), class modeling, and a newly proposed strategy, the fusion of DA and class modeling, were investigated to compare their capacity to trace the geographical origins of WLS. …”
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  14. 134

    L2 stress discrimination by non-musicians and musicians playing wind or percussion instruments by Sandra Schwab, Orianne Pythoud

    Published 2023-12-01
    “…Taken together, our findings not only highlighted the benefits of music expertise in L2 stress perception, but also revealed that the type of music instruments played by the musicians also influences L2 stress discrimination performance. …”
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    MO-GCN: A multi-omics graph convolutional network for discriminative analysis of schizophrenia by Haiyuan Wang, Runlin Peng, Yuanyuan Huang, Liqin Liang, Wei Wang, Baoyuan Zhu, Chenyang Gao, Minxin Guo, Jing Zhou, Hehua Li, Xiaobo Li, Yuping Ning, Fengchun Wu, Kai Wu

    Published 2025-02-01
    “…The methodology of machine learning with multi-omics data has been widely adopted in the discriminative analyses of schizophrenia, but most of these studies ignored the cooperative interactions and topological attributes of multi-omics networks. …”
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  16. 136

    Fault Diagnosis Method for Rolling Bearing Based on Sparse Principal Subspace Discriminant Analysis by Hongdi Zhou, Lin Zhu, Xixing Li

    Published 2022-01-01
    “…In this study, a fault diagnosis of rolling bearings model based on sparse principal subspace discriminant analysis is proposed. It extracts sparse discrimination information, meanwhile preserving the main energy of original dataset, and the sparse regularization term and sparse error term constrained by l2,1-norm are introduced to improve the performance of feature extraction and the robustness to noise and outliers. …”
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    Discrimination of Pakistani Fountain Pen Inks by Gas Chromatography-Mass Spectrometry (GC-MS) by Mehwish Sharif, Muhammad Irfan Jalees, Syed Azhar Ali Shah Tirmazi, Muhammad Makshoof Athar, Arjumand Iqbal Durrani, Madeeha Batool

    Published 2022-01-01
    “…The main purpose of this study was to discriminate different Pakistani fountain pen inks. The datum for Pakistani inks of fountain pen is not obtainable. …”
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