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    Selective Feature Fusion Based Adaptive Image Segmentation Algorithm by Qianwen Li, Zhihua Wei, Wen Shen

    Published 2018-01-01
    “…Specifically, the proposed method fuses selected features and applies the fused features to region growing segmentation algorithm. …”
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    Article
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    Scene categorization by Hessian-regularized active perceptual feature selection by Junwu Zhou, Fuji Ren

    Published 2025-01-01
    “…This work presents an advanced selection of multi-channel perceptual visual features for recognizing scenic images with elaborate spatial structures, focusing on developing a deep hierarchical model dedicated to learning human gaze behavior. …”
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    Article
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    Multi-label feature selection based on dynamic graph Laplacian by Yonghao LI, Liang HU, Ping ZHANG, Wanfu GAO

    Published 2020-12-01
    Subjects: “…multi-label feature selection…”
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    Article
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    Machine Learning Ensemble Classifiers for Feature Selection in Rice Cultivars by Chandrakumar Thangavel, D Sakthipriya

    Published 2024-12-01
    “…This research study proposes the best feature selection approach with classifiers for the environmental & seed factor dataset to select the rice cultivar. …”
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    Article
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    Unsupervised feature selection in binarization of real attributes for conceptual clustering by Shkaberina Guzel, Masich Igor, Markushin Egor, Kraeva Ekaterina

    Published 2025-01-01
    “…The selected feature set is then used to generate formal concepts. …”
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    Article
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    Combined Method for Informative Feature Selection for Speech Pathology Detection by D. S. Likhachov, M. I. Vashkevich, N. A. Petrovsky, E. S. Azarov

    Published 2023-08-01
    “…We propose to use LASSO (least absolute shrinkage and selection operator) and BSS (backward stepwise selection) methods together to select the most significant features for the detection of vocal pathologies, in particular amyotrophic lateral sclerosis. …”
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  17. 57

    Angle Modulated Artificial Bee Colony Algorithms for Feature Selection by Gürcan Yavuz, Doğan Aydin

    Published 2016-01-01
    “…The objective of the feature subset selection is to eliminate the irrelevant and noisy feature in order to select optimum feature subsets and increase accuracy. …”
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    Multi-label feature selection based on dynamic graph Laplacian by Yonghao LI, Liang HU, Ping ZHANG, Wanfu GAO

    Published 2020-12-01
    Subjects: “…multi-label feature selection;dynamic graph Laplacian matrix;real-value label;classification…”
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    Article