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Let the input to this function be X, an m x n matrix. Also, let Y be the output. This function does the following.

Y(:,i) = X(:,i) - mean(X(:,i)), for i = 1 to n



This function normalizes the columns of a given matrix. That is it makes l2 norm of each column to 1.



In this we implement the face recognition algorithm proposed in

"Robust Face Recognition via Sparse Representation." by

John Wright, Allen Yang, Arvind Ganesh, Shankar Sastry, and Yi Ma. IEEE Transactions on Pattern...