Rows contained in other rows
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I have a matrix such as A=[1 2 3;1 3 5] and I want to determine which row(s) is(are) totally contained in one (or more) single row(s) of another matrix such as B=[1 4 3 2 8;1 4 5 9;1 2 5 8 9]. In this example, row 1 of A is contained is the first row of B, but second row of A is NOT contained in a single row of B (elements 1 and 3 are in first row of B, and element 5 is in second). I know I could use ISMEMBER function for each row of A, but my matrices are too large, and a loop would take too long. Does anyone have a solution for that without a FOR-END or WHILE-END loop?
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Image Analyst
2017 年 2 月 16 日
How large? What are your actual, typical size dimensions for A and B? I just did a for loop with a million iterations and the for loop itself (not with ismember in it) took 0.002 seconds.
One way to do it with 2-D arrays is to use normalized cross correlation with normxcorr2(). See attached demo.
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Image Analyst
2017 年 2 月 18 日
You could use the moving SAD method - very accurate, but it might be slow.
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