H. H. Song and S. W. Lee, "LVQ combined with simulated annealing for optimal design of large-set reference models", Neural Networks, vol. 9, no. 2, pp. 329 - 336, 996. Home/Search Document Not in Database Summary Related Articles Check |
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Image compression with neural networks - A survey - Jiang (1999) (1 citation) (Correct)
....to inferior performance and how non linear transfer function can be further exploited to achieve further improvement. Theoretical research is required in this area to provide in depth information and to prepare for further exploration in line with nonlinear signal processing using neural networks [12,19,53,61,63,74]. Generally speaking, the coding scheme used by neural networks tends to maintain the same neurone weights, once being trained, throughout the whole process of image compression. This is because the bit rate will become K N instead of that given by Eq. 2.3) in which maximisation of their ....
H.H. Song, S.W. Lee, LVQ combined with simulated annealing for optimal design of large-set reference models, Neural Networks 9 (2) (1996) 329}336.
A Brief Taxonomy and Ranking of Creative Prototype Reduction - Schemes Sang-Woon Kim (Correct)
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H. H. Song and S. W. Lee, "LVQ combined with simulated annealing for optimal design of large-set reference models", Neural Networks, vol. 9, no. 2, pp. 329 - 336, 996.
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