Joint dictionary learning and topic modeling for image clustering

Published

Journal Article

A new Bayesian model is proposed, integrating dictionary learning and topic modeling into a unified framework. The model is applied to cluster multiple images, and a subset of the images may be annotated. Example results are presented on the MNIST digit data and on the Microsoft MSRC multi-scene image data. These results reveal the working mechanisms of the model and demonstrate state-of-the-art performance. © 2011 IEEE.

Full Text

Duke Authors

Cited Authors

  • Li, L; Zhou, M; Wang, E; Carin, L

Published Date

  • August 18, 2011

Published In

Start / End Page

  • 2168 - 2171

International Standard Serial Number (ISSN)

  • 1520-6149

Digital Object Identifier (DOI)

  • 10.1109/ICASSP.2011.5946757

Citation Source

  • Scopus