Evidential reasoning in visual recognition

Research output: Contribution to conferencePaper

Abstract

Evidential reasoning is the central problem of selective visual perception. It consists of gathering the evidence and integrating the information from successive fixations. Both data-driven and knowledge-driven influences in selecting the areas of interest and gathering the evidence are studied. We use the Bayesian networks for knowledge representation, and a decision theoretic approach in selecting where to shift the attention and for integrating the information from successive fixations.

Original languageEnglish (US)
Pages511-516
Number of pages6
StatePublished - Dec 1 1994
EventProceedings of the Artificial Neural Networks in Engineering Conference (ANNIE'94) - St. Louis, MO, USA
Duration: Nov 13 1994Nov 16 1994

Other

OtherProceedings of the Artificial Neural Networks in Engineering Conference (ANNIE'94)
CitySt. Louis, MO, USA
Period11/13/9411/16/94

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Marsic, I. (1994). Evidential reasoning in visual recognition. 511-516. Paper presented at Proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE'94), St. Louis, MO, USA, .