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    STUDIA INFORMATICA - Issue no. Sp.Issue 1 / 2009  
         
  Article:   APPLICATIONS OF SELF-ORGANIZING MAPS IN BIO-INSPIRED ARTIFICIAL VISION MODELS.

Authors:  PAUL V. BORZA, OANA GUI, DAN DUMITRESCU. 		 
       
         
  Abstract:   This paper describes the need for bio-inspired vision models when detecting dissimilarities and rejecting similarities in consecutively taken photos in various environments over a certain period of time. Such an approach to this problem are self-organizing maps that are briey discussed, focusing more on the algorithmic process that was used to train these. This machine learning technique was applied in this research regarding finding regions of interest with the goal of accomodating the varios properties like weather change, luminance change,camera shake etc. that invariably occur, and a naive approach would fail.

Key words and phrases. self-organizing maps, bio-inspired, artificial, vision models. 		 
         
     
         
         
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