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Process Neural Network (PNN) has an important significance in solving industry modeling problems which are related to time, but long time is cost on high dimension inputs nonlinear modeling problems. A new Improved Process Neural Networks based on KPCA and Walsh (IPNN-KPW) are proposed in this paper. KPCA method and discrete Walsh transform are used to reduce process neural network's time cost. Momentum...
In this paper, we make use the fact that the differences between the pixel values in the local region of an image are small and propose two simple and effective reversible watermarking schemes based on the spatial quad-based difference expansion that applies the difference expansion to the image in row-wise and column-wise simultaneously. The schemes make good use of both row-wise and column-wise...
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