Representation-Constrained Autoencoders and an Application to Wireless Positioning

no code implementations • ICLR 2019 • Pengzhi Huang, Emre Gonultas, Said Medjkouh, Oscar Castaneda, Olav Tirkkonen, Tom Goldstein, Christoph Studer

In a number of practical applications that rely on dimensionality reduction, the dataset or measurement process provides valuable side information that can be incorporated when learning low-dimensional embeddings.

Dimensionality Reduction