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1·The real image size is 112x92, the corresponding column vector face database matrix accumulation of each column.

真实的图像尺寸为112x92，列向量堆积对应人脸库矩阵的每一列。

2·In this paper, some necessary and sufficient condition about the equivalence of two column vector groups has been discussed.

本文论述了两列向量组等价的一些充分必要条件，并应用泛函分析的理论进行分析。

3·A new method based on column vector average of the autocorrelation matrix without eigendecomposition is presented to estimate the channel vector.

本文提出一种基于相关矩阵列矢量平均的信道估计算法，该算法不需要特征分解或跟踪。

4·It's just something to remember: if you have a square matrix times a column vector, the product that makes sense is with the matrix on the left, and the vector on the right.

只要记住：如果你要用一个方阵，乘以一个列向量，当矩阵在左，向量在右的时候乘积才有意义。

5·But it is very difficult to compute the number of non-negative matrix with fixed score row or column vectors, so to compute the number of tournament matrix with fixed score vector is also difficult.

竞赛矩阵和竞赛图由于具有固定行和向量及列和向量的非负矩阵类的计数，是组合数学的一个非常困难的问题，因此对具有固定得分向量的竞赛矩阵的计数问题也比较困难。

6·We then use this vector to set the column headings of the JTable.

然后我们用这一向量来设定JTable的列的标题。

7·One thing that can be confusing about R's everything is a vector approach is that row-wise and column-wise operations may not adhere to your intuition.

关于 R 的 “所有东西都是向量” 方式，容易引起混乱的一点是行操作和列操作可能不符合直觉。

8·This article analyzes a few profound concepts, such as companion matrix, line vector, column rector, orthogonal matrix, and recommend many qualities, which are difficult to grasp for many students.

本文剖析了线性代数中伴随矩阵、行向量与列向量的乘积、正交矩阵几个较难掌握的概念，由此引出这些概念的一些基本特征和性质。

9·In training phase, singular value vector of a lot of face image information matrix from face image sets constitutes face image sets characteristic matrix as a column.

在训练阶段，从人脸图像集中选取大量人脸图像的信息矩阵的奇异值向量作为矩阵中的一列而构成的人脸图像集特征矩阵。

10·A times x, when I multiply a matrix by a vector, I get a combination of the column.

倍的x，当我用一个向量乘以一个矩阵时，我得到了一个列向量的(线性)组合。