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    MLCV
    1. Diğer
    2. Software SEMI-SUPERVISED DISCRIMINATIVE COMMON VECTOR METHOD FOR COMPUTER VISION APPLICATIONS
    Software SEMI-SUPERVISED DISCRIMINATIVE COMMON VECTOR METHOD FOR COMPUTER VISION APPLICATIONS

    SEMI-SUPERVISED DISCRIMINATIVE COMMON VECTOR METHOD FOR COMPUTER VISION APPLICATIONS

    • Download SSDCV.rar files and uncompress them in an appropriate directory.
    • Run "test_detector.m" file.
    • Launch the demo programs to learn the use of functions.
    • Please read the function descriptions and explanations in demo programs in order to learn their usage. Please cite the paper "Semi-Supervised Discriminative Common Vector Method for Computer Vision Applications" by Hakan Cevikalp if you used this toolbox.

    If you find a bug, please send an email to hakan.cevikalp@gmail.com

    Son Güncelleme Tarihi: 15.06.2022

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    © 2025 Eskişehir Osmangazi Üniversitesi - B.İ.D.B.

    Web Sorumlusu: Prof.Dr. Hakan ÇEVİKALP

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