Tree-Structured Infinite Sparse Factor Model.

Published

Journal Article

A tree-structured multiplicative gamma process (TMGP) is developed, for inferring the depth of a tree-based factor-analysis model. This new model is coupled with the nested Chinese restaurant process, to nonparametrically infer the depth and width (structure) of the tree. In addition to developing the model, theoretical properties of the TMGP are addressed, and a novel MCMC sampler is developed. The structure of the inferred tree is used to learn relationships between high-dimensional data, and the model is also applied to compressive sensing and interpolation of incomplete images.

Full Text

Duke Authors

Cited Authors

  • Zhang, X; Dunson, DB; Carin, L

Published Date

  • January 2011

Published In

  • Proceedings of the ... International Conference on Machine Learning. International Conference on Machine Learning

Volume / Issue

  • 2011 /

Start / End Page

  • 785 - 792

PubMed ID

  • 25279389

Pubmed Central ID

  • 25279389

Language

  • eng