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For distinguish the LSB (Least significant bit) replacement stego image from MLSB (Multiple least significant bits) stego image, which are two typical kinds of steganographical methods of image spatial domain and have been applied widely, a classification algorithm based on the shift of pixel value and irrelevance of pixel pairs is proposed. In this algorithm, a shift operator is adopted for each...
Overfitting is an important topic in Neural Network. Internal Symmetry Networks are a new modern Cellular Neural Networks inspired by the phenomenon of internal symmetry in quantum physics. Recurrent Internal Symmetry Networks are just studied very recently. In this paper, overfitting in recurrent cycles of Internal Symmetry Networks is analyzed. Back propagation is trained for an image processing...
An automatic inspection method based on rough set theory, fuzzy set and an improved BP algorithm is presented. The rough set method is used to remove redundant features for its data analysis and procession ability. The reduced data is fuzzified to represent the feature data in a more suitable form as input data of a BP network classifier. By the experimental research, the hybrid method shows good...
This work implemented a soft classification of neural network using Kalman filter algorithm (KFNN) for complex land cover mapping. Back propagation neural network (BPNN), SVM and maximum likelihood (MLC) were applied as comparisons. Using `hard' and `fuzzy' confusion matrices, the classifications were assessed. The KFNN outperformed other classifiers in terms of overall accuracy and Kappa statistics...
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