Result Details

Restricted Boltzman Machines for Image Tag Suggestion

KRÁL, J.; HRADIŠ, M. Restricted Boltzman Machines for Image Tag Suggestion. Proceedings of the 19th Conference STUDENT EEICT 2012. Brno: Brno University of Technology, 2012. p. 1-5.
Type
conference paper
Language
English
Authors
Král Jiří, Ing., DITS (FIT)
Hradiš Michal, Ing., Ph.D., DCGM (FIT)
Abstract

In this paper, we propose to model dependencies among binary variables in semantic tagging and similar tasks by Restricted Boltzmann Machines (RBM). In the proposed approach, Gibbs sampling allows learning RBMs even on data with large portion of missing values. Similarly, Gibbs sampling is used to estimate marginal probabilities of tags. The results show that the tag predictions become more certain with higher portion of known tags, and that the approach could be used for tag suggestion or semi-supervised learning.

URL
Published
2012
Pages
1–5
Proceedings
Proceedings of the 19th Conference STUDENT EEICT 2012
Conference
Student EEICT 2012
Publisher
Brno University of Technology
Place
Brno
BibTeX 
@inproceedings{BUT192815,
  author="Jiří {Král} and Michal {Hradiš}",
  title="Restricted Boltzman Machines for Image Tag Suggestion",
  booktitle="Proceedings of the 19th Conference STUDENT EEICT 2012",
  year="2012",
  pages="1--5",
  publisher="Brno University of Technology",
  address="Brno",
  url="http://www.feec.vutbr.cz/EEICT/2012/sbornik/03doktorskeprojekty/09grafikaamultimedia/03-ikral.pdf"
}
Projects
Event-based Retrieval of Networked Media, EU, Seventh Research Framework Programme, 7E12055, start: 2011-07-01, end: 2012-11-30, completed
National Support for Project Together Anywhere, Together Anytime, MŠMT, Podpora projektů sedmého rámcového programu Evropského společenství pro výzkum, technologický rozvoj a demonstrace (2007 až 2013) podle zákona č. 171/2007 Sb., 7E11024, start: 2011-01-01, end: 2011-12-31, running
Security-Oriented Research in Information Technology, MŠMT, Institucionální prostředky SR ČR (např. VZ, VC), MSM0021630528, start: 2007-01-01, end: 2013-12-31, running
Research groups
Computer Graphics Research Group (RG GRAPH)
Departments
Department of Computer Graphics and Multimedia (DCGM)
Department of Intelligent Systems (DITS)
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