Factorization with noisy data
Once again: use SVD of W
•Set
all but the first three singular values to 0
•Yields
new matrix W’
•W’
is optimal rank 3 approximation of W
Approach
•Estimate
W’, then use noise-free factorization of W’ as before
•Result
minimizes the SSD between positions of image features and
projection of the reconstruction