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6 hasil untuk "Sebban, Marc"

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  1. Artikel Jurnal Teks lengkap

    Iterative multilinear optimization for planar model fitting under geometric constraints

    Azorin-Lopez, Jorge; Sebban, Marc; Fuster-Guillo, Andres dkk.

    PeerJ Comput Sci · 2021 · Inggris · PubMed Central

    Planes are the core geometric models present everywhere in the three-dimensional real world. There are many examples of manual constructions based on planar patches: facades, corridors, packages, boxes, etc. In these constructions, planar patches must satisfy orthogonal constraints by design (e.g…

  2. Artikel Jurnal Teks lengkap

    Learning PDE to Model Self-Organization of Matter

    Brandao, Eduardo; Colombier, Jean-Philippe; Duffner, Stefan dkk.

    Entropy (Basel) · 2022 · Inggris · PubMed Central

    A self-organization hydrodynamic process has recently been proposed to partially explain the formation of femtosecond laser-induced nanopatterns on Nickel, which have important applications in optics, microbiology, medicine, etc. Exploring laser pattern space is difficult, however, which…

  3. Artikel Jurnal Teks lengkap

    A Computerized Prediction Model of Hazardous Inflammatory Platelet Transfusion Outcomes

    Nguyen, Kim Anh; Hamzeh-Cognasse, Hind; Sebban, Marc dkk.

    PLoS One · 2014 · Inggris · PubMed Central

    BACKGROUND: Platelet component (PC) transfusion leads occasionally to inflammatory hazards. Certain BRMs that are secreted by the platelets themselves during storage may have some responsibility. METHODOLOGY/PRINCIPAL FINDINGS: First, we identified non-stochastic arrangements of platelet-secreted…

  4. Buku Teks lengkap

    Metric Learning

    Bellet, Aurélien; Habrard, Amaury; Sebban, Marc

    Morgan & Claypool Publishers (USA), Synthesis Lectures on Artificial… · 2015 · Inggris · HAL

    Similarity between objects plays an important role in both human cognitive processes and artificial systems for recognition and categorization. How to appropriately measure such similarities for a given task is crucial to the performance of many machine learning, pattern recognition and data mining…

  5. Buku Teks lengkap

    Advances in Domain Adaptation Theory

    Redko, Ievgen; Morvant, Emilie; Habrard, Amaury dkk.

    Elsevier · 2019 · Inggris · HAL

    All machine learning algorithms that correspond to supervised and semi-supervised learning work under a common assumption: training and test data follow the same distribution. When the distribution changes, most statistical models must be reconstructed from new data that may be costly or even…