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With he rapid development of the mobile Internet industry, information security based on trusted computing is also becoming increasingly serious. Considering that most of the existing research is based on the static security measure, and based on the server and PC side, a security operation environment measurement framework based on mobile terminal is proposed in this paper to alleviate the information...
Support vector machine has become a leading method in classifications and is one of the major topics in supervised learning. Its simple idea and fast implementation have made this method widely used in many areas, such as economics, natural science and chemical engineering. Gaussian kernel is the most common kernel in the support vector machine method, however, the selection of the parameter σ has...
There is growing interest in social image classification because of its importance in web-based image application. Though there are many approaches on image classification, it is a great problem to integrate multi-modal content of social images simultaneously for social image classification, since the textual content and visual content are represented in two heterogeneous feature spaces. In this study,...
Based on the probability of memberships estimated by RVM (relevance vector machine) basic model, probabilistic output approaches for multi-class memberships in one-against-all strategy by multivariate sigmoid function and in one-against-one strategy by pairwise coupling are presented respectively. Experiment results based on artificial Gauss datasets and UCI datasets show the proposed approaches can...
So far open source software has been developed for several decades. Linux has gradually become one of the major operating systems. The issue that Windows application migration can be migrated to Linux is raised. However, there is great difference in the implementation mechanism between Windows and Linux. In this research, we try to build an middle layer which between application and operating system...
So far open source software has been developed for several decades. Linux has gradually become one of the major operating systems. The issue that Windows application migration can be migrate to Linux is raised. However, there is great difference in the implementation mechanism between Windows and Linux. In this research, we try to build an middle layer which between application and operating system...
Nonparametric adaptive kernel density estimator (NAKDE) based blind source separation(BSS) algorithm is proposed under the framework of natural gradient optimization method. In order to improve the performance of source signal separation by BSS method, the probability distribution functions of source signals must be described as accurately as possible. Compared to the nonparametric fixed-width kernel...
With the rapid growth of Chinese websites in several years, how to get the useful information for users on Chinese websites has become a critic issue. This paper proposes the subsequence kernel-based Chinese recommender system, and subsequence kernel provides a flexible method to make the Chinese recognition easier, which overcomes the weakness of efficiency degrading for large scale users. Subsequence...
Nonparametric diffusion mixing estimator (DME) based blind signal separation (BSS) algorithm is proposed under the framework of natural gradient optimization method. In order to improve the performance of signal separation by BSS, the probability distributions of source signals must be described as accurately as possible. In this paper, we use the new data-driven bandwidth selection method based MDE...
Generalized cross entropy estimator (GCEE) based nonparametric Blind Signal Separation (BSS) algorithm is proposed under the framework of natural gradient optimization method. In order to improve the performance of signal separation by BSS, the probability distribution of source signals must be described as accurately as possible. Compared to the nonparametric fixed-width kernel density estimator...
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