Dimension Reduction Methods for Image Retrieval

In this paper, we compare performance of several dimension reduction techniques, namely LSI, NMF, SDD and FastMap. The qualitative comparison is based on rank lists and evaluated on a collection of faces from the Olivetti Research Lab. We compare the quality of these methods from both the visual impact, quality of generated "eigenfaces" and retrieval performance