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The normal-inverse model arises as a normal variance-mean mixture with an inverse Gaussian mixing model. The resulting model, it is very complicated to obtain the influence measures based on the tradition method. In the present paper, several diagnostic measures for outlier data mining are obtained based on the conditional expectation of the complete-data log-likelihood function based on the EM algorithm...
Traditional methods of optical flow estimation are poor in uneven brightness variation environment .This thesis solves this problem by generalized dynamic image model (GDIM). And according to the combination of the rich color information in color images and generalized dynamic image model, a model of color image sequence optical flow computation is presented in this paper. And the model presented...
Scene is the semantic unit in video. Video scene segmentation is a difficult task in content based video structure analysis. This paper proposes a new approach for scene boundary detection. We first construct shot content coherence signal using normalized cut criterion and then use a heuristic algorithm to detect scene boundary. Because the normalized cut criterion simultaneously emphasizes on the...
With the development and application of modern science and technology, many new technical measurement methods have been put forward successively which are of high resolution and high collection rate about microseismic monitoring. We urgently need an effective detection method of abnormal data (mine earthquake) to collect lots of data to make real-time detection. In the past, we usually depend on experienced...
A weighted average algorithm is proposed, which applies the pricing and trust mechanisms into grid resource allocation. Firstly it identifies malicious nodes according to the weighted average of the trust degree thresholds. Then it measures the comprehensive scores of normal nodes by weighted average of normalized bid prices and trust degrees, and makes resource allocation based on combinatorial double...
Regression-class is defined as a subset of the data set that is subject to a regression mode. Mining regression-class in heterogeneous data sets is attracting much attention in a variety of disciplines. Traditional data sets can't reflect prior information of data. In this paper, we consider ??fuzzy point data sets??, which is defined by giving a fuzzy membership to the data in exact data sets, for...
According to the characteristics of traditional Chinese medicine clinical cases, in this paper, we propose an automatic generation algorithm of extraction patterns, GEPTCMA, which is based on bootstrapping. The algorithm includes two models: TCM-RPAM and TCMW-MODEL. TCM-RPAM is a method for the acquisition of bi relations and bi relation patterns; TCMW-MODEL is used for acquiring the sets of the domain...
Geospatial computing today is highly manual requiring large amounts of human capital. The systems used for processing were designed for stand-alone environments, are inappropriate for modern distributed, heterogeneous network environments as Internet due to their closed architecture, and their lack of interoperability, reusability, and flexibility. The need of an intelligent architecture that can...
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