A quetions about the initial distances for re-ranking.

[Peter Hu]

 q_g_dist = np.dot(qf, np.transpose(gf)) 
 q_q_dist = np.dot(qf, np.transpose(qf))  
 g_g_dist = np.dot(gf, np.transpose(gf)) 
 dist = re_ranking(q_g_dist, q_q_dist, g_g_dist)

Thanks for sharing the codes, but I have a quetion when I read it. why the initial distance matrices for re-ranking are the correlation matrices of features, not the Mahalanobis distance ?

[GNAYUOHZ]

I think it may be ok using different distance

[Peter Hu]

Thanks, I think I have got the answer