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Showing 1 - 20 results of 77 for search '(( binary data points optimization algorithm ) OR ( binary data pose estimation algorithm ))*', query time: 0.63s Refine Results
  1. 1
    RMSE on the test data when fitting (logistic) quadratic models to binary data across increasing measurement error values .

    RMSE on the test data when fitting (logistic) quadratic models to binary data across increasing measurement error values . by Jakub Stoklosa (3315042)

    Published 2023
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  2. 2
    Binary leaf image rotated anti-clock wise from the origin degree to 40<sup><i>o</i></sup>, 80<sup><i>o</i></sup>, 120<sup><i>o</i></sup>, and 160<sup><i>o</i></sup> from left to right respectively to verify rotation invariance with their corresponding curve-fitted data.

    Binary leaf image rotated anti-clock wise from the origin degree to 40<sup><i>o</i></sup>, 80<sup><i>o</i></sup>, 120<sup><i>o</i></sup>, and 160<sup><i>o</i></sup> from left to ri... by Ali Ahmed (2567584)

    Published 2020
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  3. 3
    Experimental setup and trajectory estimation methodology.

    Experimental setup and trajectory estimation methodology. by Nouman Javed (16624785)

    Published 2023
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  4. 4
    Microsoft excel file containing exhaustive list of Abbreviated-Injury Scale codes used to generate binary variables encoding the presence or absence of injury to various body regions/organ systems.

    Microsoft excel file containing exhaustive list of Abbreviated-Injury Scale codes used to generate binary variables encoding the presence or absence of injury to various body regio... by Michael D. Cobler-Lichter (22492930)

    Published 2025
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  5. 5
    ROC curves of our out-of-class algorithm (blue) and a threshold decision boundary (red) representing the true positive rates (TPR) compared to the false positive rates (FPR) for test data classification results across all folds.

    ROC curves of our out-of-class algorithm (blue) and a threshold decision boundary (red) representing the true positive rates (TPR) compared to the false positive rates (FPR) for te... by G. Christopher Marais (21492084)

    Published 2025
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  6. 6
    Fig 1 -

    Fig 1 - by Jakub Stoklosa (3315042)

    Published 2023
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  7. 7
    MCLP_quantum_annealer_V0.5

    MCLP_quantum_annealer_V0.5 by Anonymous Anonymous (4854526)

    Published 2025
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  8. 8
    Latent state estimations for experimental data with no stressors.

    Latent state estimations for experimental data with no stressors. by Samiul Alam (18563323)

    Published 2024
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  9. 9
    Latent state estimations for experimental data with interruptions.

    Latent state estimations for experimental data with interruptions. by Samiul Alam (18563323)

    Published 2024
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  10. 10
    Latent state estimations for experimental data with time limit.

    Latent state estimations for experimental data with time limit. by Samiul Alam (18563323)

    Published 2024
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  11. 11
    Schematic representation of semi-automated algorithm for organoids analyzing.

    Schematic representation of semi-automated algorithm for organoids analyzing. by Anna Demchenko (18449439)

    Published 2025
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  12. 12
    Latent state estimations for experimental data with interruptions for subject 18.

    Latent state estimations for experimental data with interruptions for subject 18. by Samiul Alam (18563323)

    Published 2024
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  13. 13
    Latent state estimations for experimental data with no stressors for subject 22.

    Latent state estimations for experimental data with no stressors for subject 22. by Samiul Alam (18563323)

    Published 2024
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  14. 14
    Latent state estimations for experimental data with no stressors for subject 17.

    Latent state estimations for experimental data with no stressors for subject 17. by Samiul Alam (18563323)

    Published 2024
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  15. 15
    Latent state estimations for experimental data with interruptions for subject 13.

    Latent state estimations for experimental data with interruptions for subject 13. by Samiul Alam (18563323)

    Published 2024
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  16. 16
    Latent state estimations for experimental data with no stressors for subject 3.

    Latent state estimations for experimental data with no stressors for subject 3. by Samiul Alam (18563323)

    Published 2024
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  17. 17
    Latent state estimations for experimental data with no stressors for subject 15.

    Latent state estimations for experimental data with no stressors for subject 15. by Samiul Alam (18563323)

    Published 2024
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  18. 18
    Latent state estimations for experimental data with interruptions for subject 7.

    Latent state estimations for experimental data with interruptions for subject 7. by Samiul Alam (18563323)

    Published 2024
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  19. 19
    Latent state estimations for experimental data with no stressors for subject 1.

    Latent state estimations for experimental data with no stressors for subject 1. by Samiul Alam (18563323)

    Published 2024
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  20. 20
    Latent state estimations for experimental data with interruptions for subject 15.

    Latent state estimations for experimental data with interruptions for subject 15. by Samiul Alam (18563323)

    Published 2024
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