对参数特征值估计和可信区间的诠释都是得出样本数据推论的路径。
Point Estimates of parameters and Confidence Interval Interpretation are both means for making inferences about sample data.
本文提出了一种有限样本集上基于次特征值误差补偿和优势主向量上非对称分布的马氏距离改进算法。
A modification on Mahalanobis distance on samples of limited size by compensation for errors of non-dominant eigenvalues and asymmetrical distribution on dominant principle components is proposed.
找出了样本容量与测试精度要求及统计特征值的关系。
And the relationship between the sample content, and the measurement accuracy requirement and characteristic value is found out.
在确定的参数隶属函数基础上，推导了岩土样本力学参数模糊统计特征值的计算公式。
According to the membership function of parameters, the equations of fuzzy eigenvalue of sample parameters was deduced.
在ORL人脸库上的实验结果表明，该方法在不提高主分量分析复杂度的情况下，采用较少的特征值提高了单训练样本的识别率。
Simulation results on ORL face databases indicate that the proposed approach (ESWPCA) can achieve higher recognition accuracy with fewer singular values but without the increase of …
在ORL人脸库上的实验结果表明，该方法在不提高主分量分析复杂度的情况下，采用较少的特征值提高了单训练样本的识别率。
Simulation results on ORL face databases indicate that the proposed approach (ESWPCA) can achieve higher recognition accuracy with fewer singular values but without the increase of …
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