Unsupervised image categorization


Large image collections require efficient organization and visualization. This paper describes an approach to establish image categories automatically by unsupervised learning. The method works free of context and previous knowledge: in a first stage, features are formed automatically, then images are clustered to form categories. The human database… (More)
DOI: 10.1016/j.imavis.2005.05.016

11 Figures and Tables



Citations per Year

171 Citations

Semantic Scholar estimates that this publication has 171 citations based on the available data.

See our FAQ for additional information.

  • Presentations referencing similar topics