Mikio Maeda

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Models of multiple inference in statistical fluctuation are presented for restoring a degraded image. Multiple images inferred by the Potts model are prepared in the initial stage. By using the inferred images, two approaches are described. The first approach is that a pixel value of a restored image is a median value of inferred images for respective(More)
There have been proposed many learning algorithms for VQ based on the steepest descend method. However, any learning algorithm known as a superior one does not always work well. This paper proposes a new learning algorithm with boosting. Boosting is a general method which attempts to boost the accuracy of any given learning algorithm. The proposed method(More)
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