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Showing 641 - 660 results of 2,689 for search '(( elements method algorithm ) OR ((( data code algorithm ) OR ( image processing algorithm ))))', query time: 0.39s Refine Results
  1. 641
    Comparison of input image reconstruction results between the dynamic routing algorithm and our method on the MNIST, F-MNIST, and K-MNIST datasets.

    Comparison of input image reconstruction results between the dynamic routing algorithm and our method on the MNIST, F-MNIST, and K-MNIST datasets. by Hailei Yuan (21608693)

    Published 2025
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  2. 642
    Averaged malware detection performance of the ByteEnc (BERT-small) pre-trained with the MLM algorithm, where NoPE and RePE indicate the relative positional embedding and No positional encoding, respectively.

    Averaged malware detection performance of the ByteEnc (BERT-small) pre-trained with the MLM algorithm, where NoPE and RePE indicate the relative positional embedding and No positio... by Eun-Jin Kim (305808)

    Published 2025
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  3. 643
    Computation time as a function of the sample size on the chain graph dataset.

    Computation time as a function of the sample size on the chain graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
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  4. 644
    Log-likelihood as a function of the number of selected edges on the chain graph dataset (black dashed line: The true number of edges).

    Log-likelihood as a function of the number of selected edges on the chain graph dataset (black dashed line: The true number of edges). by Tomokaze Shiratori (9635271)

    Published 2024
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  5. 645
    Computation time as a function of the sample size on the random graph dataset.

    Computation time as a function of the sample size on the random graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
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  6. 646
    F1 score of edges selected through cross-validation on the chain graph dataset.

    F1 score of edges selected through cross-validation on the chain graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
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  7. 647
    Log-likelihood as a function of the number of selected edges on the random graph dataset (black dashed line: The true number of edges).

    Log-likelihood as a function of the number of selected edges on the random graph dataset (black dashed line: The true number of edges). by Tomokaze Shiratori (9635271)

    Published 2024
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  8. 648
    Examples of ground-truth graph structures with (<i>p</i>, <i>n</i><sub>≠0</sub>) = (10, 10).

    Examples of ground-truth graph structures with (<i>p</i>, <i>n</i><sub>≠0</sub>) = (10, 10). by Tomokaze Shiratori (9635271)

    Published 2024
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  9. 649
    Number of edges selected through cross-validation on the chain graph dataset.

    Number of edges selected through cross-validation on the chain graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
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  10. 650
    Number of edges selected through cross-validation on the random graph dataset.

    Number of edges selected through cross-validation on the random graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
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  11. 651
    Graphs of the regularization terms.

    Graphs of the regularization terms. by Tomokaze Shiratori (9635271)

    Published 2024
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  12. 652
    F1 score of a given number of selected edges on the chain graph dataset.

    F1 score of a given number of selected edges on the chain graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
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  13. 653
    Computation time as a function of the number of variables on the chain graph dataset.

    Computation time as a function of the number of variables on the chain graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
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  14. 654
    Computation time as a function of the number of variables on the random graph dataset.

    Computation time as a function of the number of variables on the random graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
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  15. 655
    F1 score of a given number of selected edges on the random graph dataset.

    F1 score of a given number of selected edges on the random graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
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  16. 656
    F1 score of edges selected through cross-validation on the random graph dataset.

    F1 score of edges selected through cross-validation on the random graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
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  17. 657
    Pseudo-code of MACOA.

    Pseudo-code of MACOA. by Xingtao Wu (22139242)

    Published 2025
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  18. 658
    Data Sheet 1_Bayesian modeling with locally adaptive prior parameters in small animal imaging.zip

    Data Sheet 1_Bayesian modeling with locally adaptive prior parameters in small animal imaging.zip by Muyang Zhang (20821943)

    Published 2025
    “…The aim of this study is to develop novel and robust estimation approaches rooted in fundamental statistical concepts that could be utilized in solving several inverse problems in image processing and potentially in image reconstruction. …”
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  19. 659
    Entry Point byte frequency

    Entry Point byte frequency by Paul A. Gagniuc (1818325)

    Published 2025
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  20. 660
    Comparison data 6 for <i>Neolamprologus multifasciatus</i>.

    Comparison data 6 for <i>Neolamprologus multifasciatus</i>. by Nicolai Kraus (19949667)

    Published 2024
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