Skip to main content

Deakin Research

Deakin Research

Contact us


+61 3 5227 1266


Centre for Pattern Recognition and Data Analytics
School of Information Technology
Deakin University
Locked Bag 20000

Publication Details

Copyright and Disclaimer Notice

S.K. Gupta, D. Phung, and S. Venkatesh. A nonparametric Bayesian Poisson gamma model for count data. In Proceedings of 21st International Conference on Pattern Recognition (ICPR), pages 1815-1818, 2012.

We propose a nonparametric Bayesian, linear Poisson gamma model for count data and use it for dictionary learning. A key property of this model is that it captures the parts-based representation similar to nonnegative matrix factorization. We present an auxiliary variable Gibbs sampler, which turns the intractable inference into a tractable one. Combining this inference procedure with the slice sampler of Indian buffet process, we show that our model can learn the number of factors automatically. Using synthetic and real-world datasets, we show that the proposed model outperforms other state-of-the-art nonparametric factor models.

bib  .pdf ]

Deakin University acknowledges the traditional land owners of present campus sites.

19th February 2015