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I found the calculation in function optimize.ODL_updateD may be wrong: a = 1.0/F[i, i] * (E[:, i] - D.dot(F[:, i])) + D[:, i].
I thought it should be 'a = 1.0/F[i, i] * D[:, i] + (E[:, i] - D.dot(F[:, i]))'.
The original equation in paper "Metaface learning for sparse representation based face recognition" is:
$$ Y=X-\sum_{l\neq j}d_l\beta_l=X-\Gamma\centerdot\Lambda+d_j\beta_j $$
The text was updated successfully, but these errors were encountered:
I found the calculation in function
optimize.ODL_updateD
may be wrong:a = 1.0/F[i, i] * (E[:, i] - D.dot(F[:, i])) + D[:, i]
.I thought it should be 'a = 1.0/F[i, i] * D[:, i] + (E[:, i] - D.dot(F[:, i]))'.
The original equation in paper "Metaface learning for sparse representation based face recognition" is:
$$ Y=X-\sum_{l\neq j}d_l\beta_l=X-\Gamma\centerdot\Lambda+d_j\beta_j $$
The text was updated successfully, but these errors were encountered: