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Showing 1 - 19 results of 19 for search 'multiscale feature selection algorithm', query time: 0.22s Refine Results
  1. 1
    Algorithm deployment.

    Algorithm deployment. by Bo Tong (2138632)

    Published 2025
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  2. 2
    Detection effect of different sizes.

    Detection effect of different sizes. by Bo Tong (2138632)

    Published 2025
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  3. 3
    Proportion of pruning.

    Proportion of pruning. by Bo Tong (2138632)

    Published 2025
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  4. 4
    PR comparison chart.

    PR comparison chart. by Bo Tong (2138632)

    Published 2025
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  5. 5
    Changes in improved parameters of the backbone layer.

    Changes in improved parameters of the backbone layer. by Bo Tong (2138632)

    Published 2025
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  6. 6
    MGPC module.

    MGPC module. by Bo Tong (2138632)

    Published 2025
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  7. 7
    Comparative experiment.

    Comparative experiment. by Bo Tong (2138632)

    Published 2025
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  8. 8
    Pruning experiment.

    Pruning experiment. by Bo Tong (2138632)

    Published 2025
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  9. 9
    Radar chart comparing indicators.

    Radar chart comparing indicators. by Bo Tong (2138632)

    Published 2025
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  10. 10
    Parameter setting table.

    Parameter setting table. by Bo Tong (2138632)

    Published 2025
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  11. 11
    Dataset distribution.

    Dataset distribution. by Bo Tong (2138632)

    Published 2025
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  12. 12
    DTADH module.

    DTADH module. by Bo Tong (2138632)

    Published 2025
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  13. 13
    MFD-YOLO structure.

    MFD-YOLO structure. by Bo Tong (2138632)

    Published 2025
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  14. 14
    Comparison of detection effects.

    Comparison of detection effects. by Bo Tong (2138632)

    Published 2025
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  15. 15
    Detection results of each category.

    Detection results of each category. by Bo Tong (2138632)

    Published 2025
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  16. 16
    Ablation experiment.

    Ablation experiment. by Bo Tong (2138632)

    Published 2025
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  17. 17
    Multi scale detection.

    Multi scale detection. by Bo Tong (2138632)

    Published 2025
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  18. 18
    MFDPN module.

    MFDPN module. by Bo Tong (2138632)

    Published 2025
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  19. 19
    Generalized Additive Spatial Smoothing (GASS): A Multiscale Regression Framework for Modeling Neighborhood Effects Across Spatial Supports

    Generalized Additive Spatial Smoothing (GASS): A Multiscale Regression Framework for Modeling Neighborhood Effects Across Spatial Supports by Taylor M. Oshan (19825257)

    Published 2024
    “…GASS has a number of desirable features, namely that it provides a data-driven mechanism for endogenously selecting neighborhoods based on a spatial scale hyperparameter. …”
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