4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2008
Learning Isometric Separation Maps
Nikolaos Vasiloglou, Alexander G. Gray, David V. Anderson
Maximum Variance Unfolding (MVU) and its variants have been very successful in embedding data-manifolds in lower dimensional spaces, often revealing the true intrinsic dimension. I…
cs.AI2008★ 4 cited
Non-Negative Matrix Factorization, Convexity and Isometry
Nikolaos Vasiloglou, Alexander G. Gray, David V. Anderson
In this paper we explore avenues for improving the reliability of dimensionality reduction methods such as Non-Negative Matrix Factorization (NMF) as interpretive exploratory data…