A combination of geometric patterns and heterogeneous features for webpage multi-classifier

Sylvester Orimaye, Wern Lim, Saadat Alhashmi, Eu-Gene Siew

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    Original languageEnglish
    Title of host publicationProceedings of the 2011 3rd International Conference on Machine Learning and Computing
    EditorsSteve Thatcher
    Place of PublicationPiscataway NJ USA
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages411 - 415
    Number of pages5
    ISBN (Print)9781424492527
    Publication statusPublished - 2011
    EventInternational Conference on Machine Learning and Computing (ICMLC) - Singapore, Piscataway NJ USA
    Duration: 1 Jan 2011 → …

    Conference

    ConferenceInternational Conference on Machine Learning and Computing (ICMLC)
    CityPiscataway NJ USA
    Period1/01/11 → …

    Cite this

    Orimaye, S., Lim, W., Alhashmi, S., & Siew, E-G. (2011). A combination of geometric patterns and heterogeneous features for webpage multi-classifier. In S. Thatcher (Ed.), Proceedings of the 2011 3rd International Conference on Machine Learning and Computing (pp. 411 - 415). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers.
    Orimaye, Sylvester ; Lim, Wern ; Alhashmi, Saadat ; Siew, Eu-Gene. / A combination of geometric patterns and heterogeneous features for webpage multi-classifier. Proceedings of the 2011 3rd International Conference on Machine Learning and Computing. editor / Steve Thatcher. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2011. pp. 411 - 415
    @inproceedings{af2095d00d3b4673b3a8686a92674480,
    title = "A combination of geometric patterns and heterogeneous features for webpage multi-classifier",
    author = "Sylvester Orimaye and Wern Lim and Saadat Alhashmi and Eu-Gene Siew",
    year = "2011",
    language = "English",
    isbn = "9781424492527",
    pages = "411 -- 415",
    editor = "Steve Thatcher",
    booktitle = "Proceedings of the 2011 3rd International Conference on Machine Learning and Computing",
    publisher = "IEEE, Institute of Electrical and Electronics Engineers",
    address = "United States of America",

    }

    Orimaye, S, Lim, W, Alhashmi, S & Siew, E-G 2011, A combination of geometric patterns and heterogeneous features for webpage multi-classifier. in S Thatcher (ed.), Proceedings of the 2011 3rd International Conference on Machine Learning and Computing. IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 411 - 415, International Conference on Machine Learning and Computing (ICMLC), Piscataway NJ USA, 1/01/11.

    A combination of geometric patterns and heterogeneous features for webpage multi-classifier. / Orimaye, Sylvester; Lim, Wern; Alhashmi, Saadat; Siew, Eu-Gene.

    Proceedings of the 2011 3rd International Conference on Machine Learning and Computing. ed. / Steve Thatcher. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2011. p. 411 - 415.

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    TY - GEN

    T1 - A combination of geometric patterns and heterogeneous features for webpage multi-classifier

    AU - Orimaye, Sylvester

    AU - Lim, Wern

    AU - Alhashmi, Saadat

    AU - Siew, Eu-Gene

    PY - 2011

    Y1 - 2011

    M3 - Conference Paper

    SN - 9781424492527

    SP - 411

    EP - 415

    BT - Proceedings of the 2011 3rd International Conference on Machine Learning and Computing

    A2 - Thatcher, Steve

    PB - IEEE, Institute of Electrical and Electronics Engineers

    CY - Piscataway NJ USA

    ER -

    Orimaye S, Lim W, Alhashmi S, Siew E-G. A combination of geometric patterns and heterogeneous features for webpage multi-classifier. In Thatcher S, editor, Proceedings of the 2011 3rd International Conference on Machine Learning and Computing. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. 2011. p. 411 - 415