Xiangwei Kong

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An informative and discriminative graph plays an important role in the graph-based semi-supervised learning methods. This paper introduces a nonnegative sparse algorithm and its approximated algorithm based on the l<sup>0</sup>&#x2013;l<sup>1</sup> equivalence theory to compute the nonnegative sparse weights of a graph. Hence, the sparse probability graph(More)
Principal component analysis (PCA) minimizes the mean square error (MSE) and is sensitive to outliers. In this paper, we present a new rotational-invariant PCA based on maximum correntropy criterion (MCC). A half-quadratic optimization algorithm is adopted to compute the correntropy objective. At each iteration, the complex optimization problem is reduced(More)
This paper proposes a novel nonnegative sparse representation approach, called two-stage sparse representation (TSR), for robust face recognition on a large-scale database. Based on the divide and conquer strategy, TSR decomposes the procedure of robust face recognition into outlier detection stage and recognition stage. In the first stage, we propose a(More)
This letter proposes a new multiple linear regression model using regularized correntropy for robust pattern recognition. First, we motivate the use of correntropy to improve the robustness of the classical mean square error (MSE) criterion that is sensitive to outliers. Then an l regularization scheme is imposed on the correntropy to learn robust and(More)
Double compression usually occurs after the image has gone through some kinds of tampering, so double compression detection is a basic mean to assess the authenticity of a given image. In this paper, we propose to model the distribution of the mode based first digits of DCT (Discrete Cosine Transform) coefficients using Markov transition probability matrix(More)
We previously found that ginsenoside Rd (Rd), one of the main active ingredients in Panax ginseng, protects against ischemic brain damage induced by oxygen-glucose deprivation in vitro and middle cerebral artery occlusion (MCAO) in vivo. Considering stroke happens frequently in aged individuals, we herein sought to further define the protective effects of(More)
The performance of cognitive radio is sensitive to the accuracy of signal classification. The proposed method can increase the accuracy of existing methods on the certain degree at SNR=0 dB and below. In simulation, we classify five types of signals which are AM, BPSK, FSK, MSK and QPSK. The experiments show that above 99.9% received signals are correctly(More)
Although RBAC models have received broad support as a generalized approach to access control, the administration of roles in large organizations can become quite cumbersome. In this paper, we develop a new paradigm for access control and authorization management, called task-role based access control (TRBAC) with multi-constraint. The basic idea of this(More)