Taking image as a matrix, an eigenface algorithm USES eigenvalues and corresponding eigenvectors in recognition.

本征脸法将图像看做矩阵，计算本征值和对应的本征向量作为代数特征进行识别。

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According to the corresponding eigenvectors, the 3 principal components were explained as the anthropogenic factor, the temperature factor, and the precipitation factor.

根据3个主成分各自对应的特征向量特点，分别解释为人为因子、温度因子和降水因子并进行回归分析。

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In this paper, a kind of inverse eigenvalue problem which is the reconstruction of real symmetric five-diagonal matrix by five eigenvalues and corresponding eigenvectors is proposed.

本文讨论了一类由五个特征值和相应特征向量构造实对称五对角矩阵的特征值反问题。

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