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Recently deep Convolutional Neural Networks have been successfully applied in many computer vision tasks and achieved promising results. So some works have introduced the deep learning into face anti-spoofing. However, most approaches just use the final fully-connected layer to distinguish the real and fake faces. Inspired by the idea of each convolutional kernel can be regarded as a part filter,...
Nowdays, IDS (Intrusion Detection System) is a hot topic in the information security. The main function of IDS is distinguishing and predicting normal or abnormal behaviors. This paper is to propose a model used on IDS, it is based on rough set (RS) theory and fuzzy support vector machine (FSVM). Firstly, the model set rough set as a preprocessor of FSVM. Rough set can reduce dimensions of attributes...
Image segmentation is very essential and critical to image processing and pattern recognition. It is known that, color image segmentation approaches are based on monochrome segmentation approaches operating in different color spaces. So in this paper, an improved method which uses the FSVM (fuzzy support vector machines) algorithm for color image segmentation in the HSI (hue-saturation-intensity)...
Support vector machine(SVM) is sensitive to the noises and outliers in the training samples, so fuzzy support vector machine(FSVM) precede support vector machine in solving the problem of non-linearity high dimension and uncertainty. At the same time, for the practicability, the multi-class support vector machine is a good choice. In this paper, we combine the fuzzy support vector machine and multi-class...
Support vector machine is effective method for resolving non-liner classification and regression problem, but it is sensitive to the noises and outliers in the training samples. In order to overcome this problem, fuzzy support vector machine (FSVM) is introduced. How to choose a proper fuzzy membership is very important for the practical problem in FSVM. Generally, fuzzy membership is built according...
In this paper, an improved fuzzy membership function determination is proposed to train the fuzzy support vector machine (FSVM) for classification which the sample set in reality environment is increasing, and it often contains a lot of noise and outliers. In the improved algorithm, the sample points have the different types of memberships in different regions. The dual membership is introduced to...
In digital management, multimedia content and data can easily be used in an illegal way - being copied, modified and distributed again. Copyright protection, intellectual and material rights protection for authors, owners, buyers, distributors and the authenticity of content are crucial factors in solving an urgent and real problem. In this paper, we describe an algorithm of watermark-embedding in...
To improve the training speed of SVM, we propose a new SVM training approach which takes thick convex-hull as training set. The approach makes better use of the margin information for classification of data sets, and thus extends the use of convex hull to approximately linearly separable problems. Experiments on 5 UCI data sets indicate that the approach speeds up training of SVM with guarantee of...
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