Linear Regression-based Classifier for audio visual person identification

    Research output: Chapter in Book/Conference paperConference paper

    10 Citations (Scopus)
    Original languageEnglish
    Title of host publication2013 1st International Conference on Communications, Signal Processing and Their Applications, ICCSPA 2013
    Place of PublicationUnited States
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages5pp
    ISBN (Print)9781467328210
    DOIs
    Publication statusPublished - 2013
    Event2013 1st International Conference on Communications, Signal Processing, and their Applications - Sharjah, United Arab Emirates
    Duration: 12 Feb 201314 Feb 2013

    Conference

    Conference2013 1st International Conference on Communications, Signal Processing, and their Applications
    CountryUnited Arab Emirates
    CitySharjah
    Period12/02/1314/02/13

    Cite this

    Alam, M., Togneri, R., Sohel, F., Bennamoun, M., & Naseem, I. (2013). Linear Regression-based Classifier for audio visual person identification. In 2013 1st International Conference on Communications, Signal Processing and Their Applications, ICCSPA 2013 (pp. 5pp). United States: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICCSPA.2013.6487281
    Alam, Mohammad ; Togneri, Roberto ; Sohel, Ferdous ; Bennamoun, Mohammed ; Naseem, I. / Linear Regression-based Classifier for audio visual person identification. 2013 1st International Conference on Communications, Signal Processing and Their Applications, ICCSPA 2013. United States : IEEE, Institute of Electrical and Electronics Engineers, 2013. pp. 5pp
    @inproceedings{f7e8a5af51cd4b9cbf3fc2210a82abc7,
    title = "Linear Regression-based Classifier for audio visual person identification",
    author = "Mohammad Alam and Roberto Togneri and Ferdous Sohel and Mohammed Bennamoun and I. Naseem",
    year = "2013",
    doi = "10.1109/ICCSPA.2013.6487281",
    language = "English",
    isbn = "9781467328210",
    pages = "5pp",
    booktitle = "2013 1st International Conference on Communications, Signal Processing and Their Applications, ICCSPA 2013",
    publisher = "IEEE, Institute of Electrical and Electronics Engineers",
    address = "United States",

    }

    Alam, M, Togneri, R, Sohel, F, Bennamoun, M & Naseem, I 2013, Linear Regression-based Classifier for audio visual person identification. in 2013 1st International Conference on Communications, Signal Processing and Their Applications, ICCSPA 2013. IEEE, Institute of Electrical and Electronics Engineers, United States, pp. 5pp, 2013 1st International Conference on Communications, Signal Processing, and their Applications, Sharjah, United Arab Emirates, 12/02/13. https://doi.org/10.1109/ICCSPA.2013.6487281

    Linear Regression-based Classifier for audio visual person identification. / Alam, Mohammad; Togneri, Roberto; Sohel, Ferdous; Bennamoun, Mohammed; Naseem, I.

    2013 1st International Conference on Communications, Signal Processing and Their Applications, ICCSPA 2013. United States : IEEE, Institute of Electrical and Electronics Engineers, 2013. p. 5pp.

    Research output: Chapter in Book/Conference paperConference paper

    TY - GEN

    T1 - Linear Regression-based Classifier for audio visual person identification

    AU - Alam, Mohammad

    AU - Togneri, Roberto

    AU - Sohel, Ferdous

    AU - Bennamoun, Mohammed

    AU - Naseem, I.

    PY - 2013

    Y1 - 2013

    U2 - 10.1109/ICCSPA.2013.6487281

    DO - 10.1109/ICCSPA.2013.6487281

    M3 - Conference paper

    SN - 9781467328210

    SP - 5pp

    BT - 2013 1st International Conference on Communications, Signal Processing and Their Applications, ICCSPA 2013

    PB - IEEE, Institute of Electrical and Electronics Engineers

    CY - United States

    ER -

    Alam M, Togneri R, Sohel F, Bennamoun M, Naseem I. Linear Regression-based Classifier for audio visual person identification. In 2013 1st International Conference on Communications, Signal Processing and Their Applications, ICCSPA 2013. United States: IEEE, Institute of Electrical and Electronics Engineers. 2013. p. 5pp https://doi.org/10.1109/ICCSPA.2013.6487281