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- W1803389975 abstract "This paper presents an adaptive scheme for codebook design by using a self-creating neural network, called branching competitive learning network. In our scheme, not only codevectors, but also codebook size are adaptively modified according to input image data and a distortion tolerance. In the situation that the input image is visually simple or the image data have a centralized distribution, our codebook design algorithm will assign a relatively small codebook; and for a complex image, our algorithm will give a relatively large codebook. Experimental results are given to illustrate the adaptability and effectiveness of our scheme." @default.
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- W1803389975 date "2002-11-13" @default.
- W1803389975 modified "2023-09-24" @default.
- W1803389975 title "An adaptive codebook design using the branching competitive learning network" @default.
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- W1803389975 doi "https://doi.org/10.1109/ijcnn.2001.938493" @default.
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