Very useful, but I had two questions. (1) LogRank gives an error at line 116, at [table1 table12 t1 T1 xcg1 ycg1 lambda1]=kmplot(x1,0.05,cflag,0);
This is fixed by deleting the last arg to kmplot, giving kmplot(x1,0.05,flag);
2) The p-value for LogRank is twice what it should be? 0.03058 vs. 0.01529 in the file header. Perhaps, mismatch between old documentation and changed function, or extra factor of 2 in p = 2*(1-0.5*erfc(-z/realsqrt(2))); %p-value
Removing Yates' gives 0.019250, which is correct. I tend to think 0.03058 is correct, with the Yates' correction. Thanks for the super-useful code!
Great Job ! It;s been really helpful ! thanks !
I am trying to modify the code for use in 3D . I have a problem understanding the function fastHessian_getResponse . Could you please give a little description on it so i would know what should be expected from this part so I would know how to change it for 3D ?
Good job I have benefited it a lot
But I have a question:
How to Calculate the time of matching?
How to Calculate the number of features?
How to Calculate the percentage of matching?
Please help me, I worked on the graduation project comparison between two algorithm ( SURF AND SIFT)
opensurf gives us keypoints and features .i generate code for matching these features in an image for duplication detection. but my code is not working properly in all images of my dataset. it gives result in some images .what can i do ?please reply