• Documents
  • Authors
  • Tables
  • Other Seers ▼
    RefSeer AckSeer CollabSeer SeerSeer
  • Log in
  • Sign up
  • MetaCart

CiteSeerX logo

Advanced Search Include Citations
Advanced Search Include Citations | Disambiguate

Modeling annotated data (2003)

Cached

  • Download as a PDF

Download Links

  • [ima.umn.edu]
  • [www.cs.berkeley.edu]
  • [www.cs.princeton.edu]
  • [www.cs.princeton.edu:80]
  • [www.cs.berkeley.edu]
  • [www.cs.berkeley.edu]
  • [www-poleia.lip6.fr]
  • [www-connex.lip6.fr]
  • [www.cs.berkeley.edu]
  • [faure.iei.pi.cnr.it]

  • Other Repositories/Bibliography

  • DBLP
  • Save to List
  • Add to Collection
  • Correct Errors
  • Monitor Changes
by David M. Blei , Michael I , David M. Blei , Michael I
Venue:In Proc. of the 26th Intl. ACM SIGIR Conference
Citations:240 - 11 self
  • Summary
  • Active Bibliography
  • Co-citation
  • Clustered Documents
  • Version History

BibTeX

@INPROCEEDINGS{Blei03modelingannotated,
    author = {David M. Blei and Michael I and David M. Blei and Michael I},
    title = {Modeling annotated data},
    booktitle = {In Proc. of the 26th Intl. ACM SIGIR Conference},
    year = {2003}
}

Years of Citing Articles

Bookmark

citeulike Connotea Bibsonomy Del.icio.us Digg Reddit

OpenURL

 

Abstract

We consider the problem of modeling annotated data—data with multiple types where the instance of one type (such as a caption) serves as a description of the other type (such as an image). We describe three hierarchical probabilistic mixture models that are aimed at such data, culminating in the Corr-LDA model, a latent variable model that is effective at modeling the joint distribution of both types and the conditional distribution of the annotation given the primary type. We take an empirical Bayes approach to finding parameter estimates and conduct experiments in held-out likelihood, automatic annotation, and text-based image retrieval using the Corel database of images and captions. 1

Citations

1824 Normalized cuts and image segmentation - Shi, Malik - 2000
1369 Latent Dirichlet allocation - Blei, Andrew, et al.
1366 Handbook of mathematical functions - Abramowitz, Stegun - 1974
684 A language modeling approach to information retrieval - Ponte, Croft - 1998
656 An Introduction to Variational Methods for Graphical Models - Jordan, Ghahramani, et al. - 1999
390 Matching words and pictures - Barnard, Duygulu, et al.
238 Automatic image annotation and retrieval using cross-media relevance models - Jeon, Lavrenko, et al. - 2003
131 A variational Bayesian framework for graphical models - Attias - 2003
84 A probabilistic framework for semantic video indexing, filtering and retrieval - Naphade, Huang - 2001
61 Parametric empirical Bayes inference: theory and applications (with discussion - Morris - 1983
41 A model of multimedia information retrieval - Meghini, Sebastiani, et al. - 2001
38 Image information retrieval: An overview of current research - Goodrum
30 The missing link—A probabilistic model of document content and hypertext connectivity - Cohn, Hofmann - 2001
19 Probabilistic Clustering in Relational Data - Taskar, Segal, et al. - 2001
12 Name that Song!”: A probabilistic approach to querying on music and text - Brochu, Freitas - 2003
The National Science Foundation
  • About CiteSeerX
  • Submit Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2010 The Pennsylvania State University