Entropy functional based adaptive decision fusion framework

@article{Gnay2012EntropyFB,
  title={Entropy functional based adaptive decision fusion framework},
  author={Osman G{\"u}nay and B. Ugur T{\"o}reyin and Kivanç K{\"o}se and A. Enis Çetin},
  journal={2012 20th Signal Processing and Communications Applications Conference (SIU)},
  year={2012},
  pages={1-4}
}
In this paper, an entropy functional based online adaptive decision fusion framework is developed for image analysis and computer vision applications. In this framework, it is assumed that the compound algorithm consists of several sub-algorithms, each of which yields its own decision as a real number centered around zero, representing the confidence level of that particular sub-algorithm. Decision values are linearly combined with weights which are updated online according to an active fusion… CONTINUE READING

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The Relaxation Method of Finding the Common Point of Convex Sets and Its Application to the Solution of Problems in Convex Programming

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