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Supervised Hierarchical Dirichlet Processes with Variational Inference
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP. KTH, School of Computer Science and Communication (CSC), Centres, Centre for Autonomous Systems, CAS. (CVAP)ORCID iD: 0000-0002-8640-9370
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP. KTH, School of Computer Science and Communication (CSC), Centres, Centre for Autonomous Systems, CAS. (Computer Vision and Active Perception (CVAP) Lab)
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP. KTH, School of Computer Science and Communication (CSC), Centres, Centre for Autonomous Systems, CAS.
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP. KTH, School of Computer Science and Communication (CSC), Centres, Centre for Autonomous Systems, CAS.ORCID iD: 0000-0003-1114-6040
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2013 (English)In: 2013 IEEE International Conference on Computer Vision Workshops (ICCVW), IEEE , 2013, 254-261 p.Conference paper, Published paper (Refereed)
Abstract [en]

We present an extension to the Hierarchical Dirichlet Process (HDP), which allows for the inclusion of supervision. Our model marries the non-parametric benefits of HDP with those of Supervised Latent Dirichlet Allocation (SLDA) to enable learning the topic space directly from data while simultaneously including the labels within the model. The proposed model is learned using variational inference which allows for the efficient use of a large training dataset. We also present the online version of variational inference, which makes the method scalable to very large datasets. We show results comparing our model to a traditional supervised parametric topic model, SLDA, and show that it outperforms SLDA on a number of benchmark datasets.

Place, publisher, year, edition, pages
IEEE , 2013. 254-261 p.
Keyword [en]
Topic Modeling, HDP, Supervised HDP, Dirichlet Processes
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:kth:diva-134128DOI: 10.1109/ICCVW.2013.41ISI: 000349847200036Scopus ID: 2-s2.0-84897533026ISBN: 978-147993022-7 (print)OAI: oai:DiVA.org:kth-134128DiVA: diva2:664983
Conference
2013 14th IEEE International Conference on Computer Vision Workshops, ICCVW 2013; Sydney, NSW; Australia; 1 December 2013 through 8 December 2013
Note

QC 20131217

Available from: 2013-11-18 Created: 2013-11-18 Last updated: 2015-10-06Bibliographically approved

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Supervised Hierarchical Dirichlet Processes with Variational Inference(232 kB)244 downloads
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Zhang, ChengPokorny, Florian T.Kjellström, Hedvig

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