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    Inlier modeling for multimedia data analysis

    Dahyot, Rozenn and Rea, Niall and Kokaram, Anil and Kingsbury, Nick (2004) Inlier modeling for multimedia data analysis. IEEE 6th Workshop on Multimedia Signal Processing, 2004. pp. 482-485.

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    This paper presents a robust method to estimate the unknown standard deviation of a centred normal distribution from a mixture density. This method is applied to different signal processing problems. The first one concerns silence segmentation from audio data. The second application deals with colour class parameter extraction. In this later case, the mean is also estimated from the observations.

    Item Type: Article
    Keywords: Inlier modeling; multimedia; data analysis;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 15316
    Identification Number:
    Depositing User: Rozenn Dahyot
    Date Deposited: 24 Jan 2022 12:59
    Journal or Publication Title: IEEE 6th Workshop on Multimedia Signal Processing, 2004
    Publisher: IEEE
    Refereed: Yes
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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