Space-Time Local Embeddings
Sun, Ke, Wang, Jun, Kalousis, Alexandros, Marchand-Maillet, Stephane
–Neural Information Processing Systems
Space-time is a profound concept in physics. This concept was shown to be useful for dimensionality reduction. We present basic definitions with interesting counter-intuitions.We give theoretical propositions to show that space-time is a more powerful representation than Euclidean space. We apply this concept to manifold learning for preserving local information. Empirical results on nonmetric datasetsshow that more information can be preserved in space-time.
Neural Information Processing Systems
Dec-31-2015