Before revision:  We present a two stage neural optimization approach as an alternative to conventional and randomized SVD techniques , where the  memory requirement depends explicitly on the feature dimension and desired rank, independent of the sample size.
After revision:  We present a two stage neural optimization approach as an alternative to conventional and randomized SVD techniques , where the main memory requirement depends explicitly on the feature dimension and desired rank, independent of the sample size.