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SDTs: sparse dynamic trees

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationArtificial Neural Networks, 1999. ICANN 99. Ninth International Conference on (Conf. Publ. No. 470)
PublisherIET
Pages527-532 vol.2
Number of pages6
ISBN (Print)0-85296-721-7
DOIs
Publication statusPublished - 1999

Abstract

We introduce a class of image models which we call sparse dynamic trees (SDTs). These extend our previous work (1999) on dynamic trees by introducing a top-down generative prior for the tree structures, which leads to a sparse use of nodes in the network. We present results showing the properties of these networks in action on 1D patterns

    Research areas

  • neural nets, image models, image segmentation, probability, simulated annealing, sparse dynamic trees, tree structured belief net, tree structures

ID: 21873629