PCA vs ICA vs NNMF

I've have good results pre-processing data with PCA for ANNs whether of not I need dimension reduction. Has anyone achieved real world gains using Independent Component Analysis or Non-Negative Matrix Factorization? Are they worth the extra computation required. I realize this is subjective but any feedback would be useful.