Suchergebnisse - "Reordering algorithm"

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  1. 1

    GUIRO: User-Guided Matrix Reordering von Behrisch, Michael, Schreck, Tobias, Pfister, Hanspeter

    ISSN: 1077-2626, 1941-0506, 1941-0506
    Veröffentlicht: United States IEEE 01.01.2020
    “… Given the many developed algorithms, a practical problem arises: "Which matrix reordering algorithm should I choose for my dataset at hand …”
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    Journal Article
  2. 2

    Matrix Reordering Methods for Table and Network Visualization von Behrisch, Michael, Bach, Benjamin, Henry Riche, Nathalie, Schreck, Tobias, Fekete, Jean-Daniel

    ISSN: 0167-7055, 1467-8659
    Veröffentlicht: Oxford Blackwell Publishing Ltd 01.06.2016
    Veröffentlicht in Computer graphics forum (01.06.2016)
    “… The goal of this survey is to provide a comprehensive list of reordering algorithms published in different fields such as statistics, bioinformatics, or graph theory …”
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    Journal Article
  3. 3

    Temporal incoherence elimination for 2D color Doppler echocardiography via masking algorithm von Terentjev, A.B., Vasilyev, N.V.

    ISSN: 2226-1494, 2500-0373
    Veröffentlicht: ITMO University 01.10.2019
    “… ). Incoherence occurs when the temporal distance between frames is less than frame duration. This happens for frame reordering algorithms, which is a widespread processing method. Existing solution …”
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    Journal Article
  4. 4

    TEMPORAL INCOHERENCE ELIMINATION FOR 2D COLOR DOPPLER ECHOCARDIOGRAPHY VIA MASKING ALGORITHM von Terentjev, A B, Vasilyev, N V

    ISSN: 2226-1494, 2500-0373
    Veröffentlicht: Saint Petersburg St. Petersburg National Research University of Information Technologies, Mechanics and Optics 01.09.2019
    “… ). Incoherence occurs when the temporal distance between frames is less than frame duration. This happens for frame reordering algorithms, which is a widespread processing method. Existing solution …”
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    Journal Article
  5. 5

    Selection of Proximity Measures for Matrix Visualization of Binary Data von ShengLi Tzeng, Han-Ming Wu, Chun-Houh Chen

    ISBN: 9781424441327, 1424441323
    ISSN: 1948-2914
    Veröffentlicht: IEEE 01.10.2009
    “… Matrix visualization (MV) instead can simultaneously explore the associations of up to thousands of variables, subjects, and their interactions, without reducing dimension …”
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