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This paper investigates the feasibility of predicting the NAND flash decoding status by machine learning algorithms. The memory system can handle the future decoding failure in advance according to the prediction results so as to relieve the penalties. Several data preprocessing techniques to improve the accuracy are addressed. A thorough analysis flow is given and the experimental results show significant...
This paper presents a novel image steganographic method that utilizes support vector regression (SVR) to predict the embedded pixel value such that secret data is also embedded into the pixel-value difference between the predicted pixel value and the original pixel value. Due to the significant learning ability in the correlations of training samples by support vector regression, the trained SVR function...
In this paper, a novel lossless data hiding scheme is presented to exhibit high data-hiding capacity for color palette images. In the proposed method, each index value is predicted by using the average of its four precedent neighbors. If the difference between the index value and its predictive value is larger than a threshold, the pixel will be skipped. Otherwise the four precedent neighbors are...
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