Semi-automatic ground truth generation using unsupervised clustering and limited manual labeling: Application to handwritten character recognition

S Vajda, Y Rangoni, Hubert Cecotti

    Research output: Contribution to journalArticle

    14 Citations (Scopus)
    LanguageEnglish
    Pages23-28
    JournalPattern Recognition Letters
    Volume58
    DOIs
    Publication statusPublished - 2 Mar 2015

    Keywords

    • character recognition
    • active learning

    Cite this

    @article{832f2de5e3e84109970abad8e94f26b1,
    title = "Semi-automatic ground truth generation using unsupervised clustering and limited manual labeling: Application to handwritten character recognition",
    keywords = "character recognition, active learning",
    author = "S Vajda and Y Rangoni and Hubert Cecotti",
    year = "2015",
    month = "3",
    day = "2",
    doi = "10.1016/j.patrec.2015.02.001",
    language = "English",
    volume = "58",
    pages = "23--28",
    journal = "Pattern Recognition Letters",
    issn = "0167-8655",
    publisher = "Elsevier",

    }

    Semi-automatic ground truth generation using unsupervised clustering and limited manual labeling: Application to handwritten character recognition. / Vajda, S; Rangoni, Y; Cecotti, Hubert.

    In: Pattern Recognition Letters, Vol. 58, 02.03.2015, p. 23-28.

    Research output: Contribution to journalArticle

    TY - JOUR

    T1 - Semi-automatic ground truth generation using unsupervised clustering and limited manual labeling: Application to handwritten character recognition

    AU - Vajda, S

    AU - Rangoni, Y

    AU - Cecotti, Hubert

    PY - 2015/3/2

    Y1 - 2015/3/2

    KW - character recognition

    KW - active learning

    U2 - 10.1016/j.patrec.2015.02.001

    DO - 10.1016/j.patrec.2015.02.001

    M3 - Article

    VL - 58

    SP - 23

    EP - 28

    JO - Pattern Recognition Letters

    T2 - Pattern Recognition Letters

    JF - Pattern Recognition Letters

    SN - 0167-8655

    ER -