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Showing 1 - 20 results of 2,847 for search '(((( query processing algorithm ) OR ( element data algorithm ))) OR ( level based algorithm ))', query time: 0.58s Refine Results
  1. 1
    Folder with all data and algorithms

    Folder with all data and algorithms by Jorge Servert Lerdo de Tejada (22290001)

    Published 2025
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  2. 2
    Cell-TRACTR detects cells in the first frame at time t 0. Object queries predicted to be a “cell” are converted to track queries. For Track Group Denoising (TGD), random noise is added to the track queries to get noised track queries. For Query Denoising (QD), random noise is added to the ground truth bounding boxes to generate noised track queries. All queries are processed together by the decoder. Attention masks are used to prevent information leakage between the object and track queries, the noised track queries generated from TGD, and the noised track queries generated from QD. The gray boxes indicate information being blocked between sets of queries while colored boxes indicate the flow of information.

    Cell-TRACTR detects cells in the first frame at time t 0. Object queries predicted to be a “cell” are converted to track queries. For Track Group Denoising (TGD), random noise is a... by Owen M. O’Connor (11965460)

    Published 2025
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  3. 3
    City driving speed query results.

    City driving speed query results. by Meilin Zhu (688698)

    Published 2025
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  4. 4
    Cells are initially detected in frame t<sub>0</sub> and then tracked to frame t<sub>1</sub>. Object queries are processed in the first layer of the decoder for object detection. In the subsequent decoder layers, track queries are concatenated with the object queries to perform tracking.

    Cells are initially detected in frame t<sub>0</sub> and then tracked to frame t<sub>1</sub>. Object queries are processed in the first layer of the decoder for object detection. In... by Owen M. O’Connor (11965460)

    Published 2025
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  5. 5
    Number of tweets collected per query and type.

    Number of tweets collected per query and type. by Sylvia Iasulaitis (8301189)

    Published 2025
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  6. 6
    Example illustrating how object and track queries interact using an attention map processed by Cell-TRACTR across two subsequent frames. The schematic displays the actual output alongside the output the from top matching object queries. Extracted from the self-attention mechanism in the decoder, the attention map highlights the strength of interactions among the queries. Lighter colors indicate stronger interactions. The track queries tend to focus on themselves, while the object queries attend to the track query that corresponds most closely in location.

    Example illustrating how object and track queries interact using an attention map processed by Cell-TRACTR across two subsequent frames. The schematic displays the actual output al... by Owen M. O’Connor (11965460)

    Published 2025
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  7. 7
    Performance of ENQUIRE’s gene normalization algorithm.

    Performance of ENQUIRE’s gene normalization algorithm. by Luca Musella (19986312)

    Published 2025
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  8. 8
    Example of a knowledge query.

    Example of a knowledge query. by Bei Li (90587)

    Published 2025
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  9. 9
    Identification of CRG based on WGCNA algorithm.

    Identification of CRG based on WGCNA algorithm. by Lin Feng (84785)

    Published 2025
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  10. 10
    The proportions of immune cells based on the CIBERSORTx algorithm.

    The proportions of immune cells based on the CIBERSORTx algorithm. by Wan-Jing Zhen (20427813)

    Published 2024
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  11. 11
    The proportions of immune cells based on the MCP algorithm.

    The proportions of immune cells based on the MCP algorithm. by Wan-Jing Zhen (20427813)

    Published 2024
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  12. 12
    The silhouette coefficient scores for different algorithms at various levels.

    The silhouette coefficient scores for different algorithms at various levels. by Xiaojie Feng (6873953)

    Published 2025
    Subjects: “…hierarchical clustering algorithm…”
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  13. 13
    Elements: Kingfisher: Storage Management for Data Federations (CSSI PI Meeting 2025)

    Elements: Kingfisher: Storage Management for Data Federations (CSSI PI Meeting 2025) by Brian Bockelman (5128082)

    Published 2025
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  14. 14
    The iterative process of genetic algorithm in the upper-level model.

    The iterative process of genetic algorithm in the upper-level model. by Zhipeng Huang (1759759)

    Published 2025
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  15. 15
    Algorithm factor level change curve.

    Algorithm factor level change curve. by Kuiyuan Pan (21145338)

    Published 2025
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  16. 16
    Fitness versus iterations based on different clustering algorithms.

    Fitness versus iterations based on different clustering algorithms. by Yiwei Zhao (2729758)

    Published 2025
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  17. 17
    The proportions of immune cells based on the xCell algorithm.

    The proportions of immune cells based on the xCell algorithm. by Wan-Jing Zhen (20427813)

    Published 2024
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  18. 18
    Cut-based matheuristic algorithms to detect tacit collusion in deregulated electricity markets

    Cut-based matheuristic algorithms to detect tacit collusion in deregulated electricity markets by Murat Elhüseyni (20744561)

    Published 2025
    “…The performance of the algorithms is compared with each other based on their capacity in identifying collusive states and the required computational effort.…”
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  19. 19
    Risk element category diagram.

    Risk element category diagram. by Yao Hu (3479972)

    Published 2025
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  20. 20
    Performance comparison of different algorithms based on five indicators.

    Performance comparison of different algorithms based on five indicators. by Yunyun Dong (6936965)

    Published 2025
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