Image classification with structured self-organization map

Z. Wang, M. Hagenbuchner, A. C. Tsoi, S. Y. Cho, Z. Chi

Research output: Contribution to conferencePaperpeer-review

14 Citations (Scopus)


Adaptive processing of structured data using supervised learning scheme has been successfully applied to many domains, e.g., molecular biology, image classification and retrieval. A self organizing map (SOM) type algorithm for processing of structured data using an unsupervised learning approach has recently been proposed. In this paper, we present an approach using quadtree representation to extract an image structure, and the application of such structured SOM to image classification problems. Encouraging results achieved by using only six simple visual features show that the structured SOM works well for structural information.

Original languageEnglish
Number of pages6
Publication statusPublished - 2002
Externally publishedYes
Event2002 International Joint Conference on Neural Networks (IJCNN '02) - Honolulu, HI, United States
Duration: 12 May 200217 May 2002


Conference2002 International Joint Conference on Neural Networks (IJCNN '02)
Country/TerritoryUnited States
CityHonolulu, HI

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence


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