• Experiments on face database showed that the segmental training method was effective.

    人脸识别实验结果表明了该方法的可行性。

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  • The proposed algorithms are validated on the handwritten Arabic numerals database and face database.

    在手写体阿拉伯数字数据库和人脸图像数据库上分别证实了所提出算法的有效性。

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  • Several experiments on AR and FERET face database demonstrate the effectiveness of the proposed method.

    在AR和FERET人脸数据库上实验结果证明了该算法的有效性。

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  • Proposed a preprocessing method based on logarithmic edges and got good results on CMU-PIE face database.

    提出了一种对数边缘图的光照预处理方法,在CMU-PIE光照人脸图像数据库上取得了良好的效果;

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  • The experiment results based on ORL and FERET face database show that the method is efficient and feasible.

    基于ORL和FERET人脸数据库的实验结果表明提出的方法具有有效性和可行性。

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  • The experiments on ORL face database show that feature weighted methods are effective and general to face recognition.

    最后用标准人脸库orl进行了实验,实验结果表明特征加权方法对人脸识别是有效且通用的。

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  • Extensive experimental results on several public face database validate the correctness and effectiveness of the proposed approach.

    通过在人脸库上的大量比较实验,验证了该方法的准确性和有效性。

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  • The experimental results on a mixture face database including 190 individuals show that the proposed GPSA method outperforms the existing PSA method.

    在包括190人的人脸数据库上的实验结果表明,所提出方法的识别性能较现有的概率子空间分析方法有了较明显的改善。

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  • The experimental results on Olivetti Research Laboratory (ORL) face database and YALE face database show that the new methods are better than original NMF in terms of recognition rate.

    实验结果表明提出的两种特征提取方法在识别率方面整体上好于原非负矩阵分解特征提取(NMF)方法。

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  • The experiments on the ORL face database show that the recognition rate of the proposed method is high when pose, illumination condition, face expression and training sample number change.

    在OR L人脸库的测试结果表明,在姿态、光照、表情、训练样本数目变化的情况下,该算法都具有较好的识别率。

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  • The experiment on CBCL face database and USPS handwritten digital database presents the comparison of this algorithm with SVM and SOM, which illustrates the effectiveness of this learning algorithm.

    在CBCL人脸库和USPS手写数字识别的实验中,给出了该算法和SVM、SOM算法的实验对比结果,说明了该学习算法的有效性。

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  • The experiment on CBCL face database and USPS handwritten digital database presents the comparison of this algorithm with SVM and SOM, which illustrates the effectiveness of this learning algorithm.

    在CBCL人脸库和USPS手写数字识别的实验中,给出了该算法和SVM、SOM算法的实验对比结果,说明了该学习算法的有效性。

    youdao

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