1) rank 1
秩1
1.
A linear iterative method for projective reconstruction based on rank 1 matrix containing the images of all points in all views,which can deal with all the images in a unified manner,is presented in the paper.
提出了一种能够将所有图像平等看待基于秩1的射影重建方法,该方法并不是直接求解射影空间结构点和投影矩阵,而是求解射影空间结构点的深度因子及投影矩阵。
2) rank one decomposition
秩1分解
1.
By using the rank one decomposition method and Kronecker multiplication method the proof of r(A * B)≤r(A)r(B) is presented.
讨论了矩阵Hadamard乘积的一些性质,分别用秩1分解法和Kronecker乘积法给出了r(A*B)≤r(A)r(B)的证明。
3) rank-1 condition
秩-1条件
4) rank-1 matrix
秩-1阵
5) rank-1 ambiguity
秩-1模糊
1.
In the paper, we investigate the rank-1 ambiguity problem involved in the polarization-angular coherence structure (PACS) of a two-dimensional co-localized vector antenna whose elements are orthogonally oriented.
本文研究共点放置极化敏感二维正交矢量天线导向矢量(PACS)中隐含的秩-1模糊问题。
6) rank-1 updating
秩1修正
补充资料：誾誾秩秩
1.人才众多貌。
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