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For large data-set, the speed of algorithms for support vector machines is one restriction for their performances; besides, noise and outliers which the data-set contained also influenced their capabilities greatly. This paper proposes an effective method for weighted support vector regression (SWSVR): the simplification of the original samples (contain noise and outliers) is taken firstly; then,...
Most current steganalysis schemes are based on the Cachin's statistical undetectability. However, the lack of the statistical model for the natural images limits the performance of the current steganalyzers. In this paper, we propose a novel steganalyzer for JPEG images based on manifold learning, which overcomes the statistical steganalyzer's deficiencies. The feature extraction in this steganalyzer...
In recent, a Markov Process based approach has been proposed to effective attacking JPEG Steganography, and the experimental works had demonstrated that scheme has outperformed the existing steganalyzers in attacking JPEG steganography. To improve that original Markov Process based approach, several variants based that scheme has been proposed and experimented including using JPEG 1D array, using...
This paper studies the problem of stabilization of piecewise-linear networked control systems with random communication packet losses. Because of the limited bandwidth of the channels, such random packet losses could occur between the plant and controller. The random packet loss is assumed to obey the Bernoulli random binary distribution. In the presence of random packet losses, a piecewise controller...
The basic theory and the key algorithm about GVF snake model are presented firstly. Then a lot of important experiments are done to achieve the effect of the GVF snake segmentation about stomach epidermis tumors after having set the values of some important parameters in GVF snake model. Firstly, the effect of two kinds image pretreatment processing such as the edge mapping and the Gauss blur are...
In this paper, we present an automatic summarization approach for popular songs. The approach includes two stages. First, a rough summary of the song is extracted efficiently by the energy information and the songpsilas structure, and then the segment boundaries of the summary are detected. Different from most previous works, the summary has a more complete meaning and a varied length instead of a...
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