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Multifeature Extreme Ordinal Ranking Machine for Facial Age Estimation

机译:用于面部年龄估计的多功能极端顺序排序机

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摘要

Recently the state-of-the-art facial age estimation methods are almost originated from solving complicated mathematical optimization problems and thus consume huge quantities of time in the training process. To refrain from such algorithm complexity while maintaining a high estimation accuracy, we propose a multifeature extreme ordinal ranking machine (MFEORM) for facial age estimation. Experimental results clearly demonstrate that the proposed approach can sharply reduce the runtime (even up to nearly one hundred times faster) while achieving comparable or better estimation performances than the state-of-the-art approaches. The inner properties of MFEORM are further explored with more advantages.
机译:最近,最先进的面部年龄估计方法几乎源于解决复杂的数学优化问题,因此在训练过程中会浪费大量时间。为了避免这种算法的复杂性,同时保持较高的估计精度,我们提出了一种用于面部年龄估计的多功能极端序数排序机(MFEORM)。实验结果清楚地表明,与现有方法相比,该方法可以显着减少运行时间(甚至快近一百倍),同时获得可比或更好的估计性能。进一步探索MFEORM的内部属性具有更多优势。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第16期|840840.1-840840.9|共9页
  • 作者单位

    Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore.;

    Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore.;

    Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore.;

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