A nonparametric Bayesian Poisson Gamma model for count data Gupta, Sunil Kumar, Phung, Dinh and Venkatesh, Svetha 2012, A nonparametric Bayesian Poisson Gamma model for count data, in ICPR 2012 : Proceedings of 21st International Conference on Pattern Recognition, ICPR Organizing Committee, Tsubuka Science City, Japan, pp. 1815-1818. Attached Files Name Description MIMEType Size Downloads Title A nonparametric Bayesian Poisson Gamma model for count data Author(s) Gupta, Sunil Kumar orcid.org/0000-0002-3308-1930 Phung, Dinh orcid.org/0000-0002-9977-8247 Venkatesh, Svetha orcid.org/0000-0001-8675-6631 Conference name International Conference on Pattern Recognition (21st : 2012 : Tsukuba Science City, Japan) Conference location Tsubuka Science City, Japan Conference dates 11-15 Nov. 2012 Title of proceedings ICPR 2012 : Proceedings of 21st International Conference on Pattern Recognition Editor(s) [Unknown] Publication date 2012 Conference series International Conference on Pattern Recognition Start page 1815 End page 1818 Total pages 4 Publisher ICPR Organizing Committee Place of publication Tsubuka Science City, Japan Summary 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. ISBN 9784990644109 Language eng Field of Research 080109 Pattern Recognition and Data Mining 080110 Simulation and Modelling Socio Economic Objective 890205 Information Processing Services (incl. Data Entry and Capture) HERDC Research category E1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30052644 Document type: Conference Paper Collections: Centre for Pattern Recognition and Data Analytics 2018 ERA Submission Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Fri, 24 May 2013, 12:10:27 EST Fri, 24 May 2013, 14:23:34 EST Fri, 24 May 2013, 14:47:02 EST Fri, 24 May 2013, 14:52:32 EST Mon, 27 May 2013, 08:41:46 EST Mon, 27 May 2013, 14:01:01 EST Mon, 10 Jun 2013, 10:31:09 EST Wed, 21 Oct 2015, 14:47:06 EST Wed, 21 Oct 2015, 18:08:26 EST Thu, 09 Jun 2016, 14:07:29 EST Filtered Full Citation counts:   Cited 4 times in TR Web of Science Cited 7 times in Scopus Search Google Scholar Access Statistics: 408 Abstract Views, 12 File Downloads  -  Detailed Statistics Created: Fri, 24 May 2013, 12:10:27 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.