Manifold Preserving Hierarchical Topic Models for Quantization and Approximation

Minje Kim, Paris Smaragdis. Manifold Preserving Hierarchical Topic Models for Quantization and Approximation. In Proceedings of the 30th International Conference on Machine Learning, ICML 2013, Atlanta, GA, USA, 16-21 June 2013. Volume 28 of JMLR Proceedings, pages 1373-1381, JMLR.org, 2013. [doi]

Abstract

Abstract is missing.