Associative memory system was constructed by Newton's forward interpolation polynomial, and was used to establish model for image data.

利用牛顿前向插值多项式构建联想记忆系统，对图像数据进行建模。

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The models used in this work were from linear associative memory method and fast compensated by adaptively learning from the given facial data, which were obtained in same condition as testing.

该方法在真实识别前，通过用与真实识别相同的环境条件下所获得的人脸图像数据对原始模型进行更新补偿，实现了模型自适应。

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