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In this letter a novel method of scalar miss distance measurement is proposed, which can keep high estimation precision even in the noisy background with very low signal-to-noise. What's more, the good performance is not accompanied with heavy computation load. Simulation results demonstrate the effectiveness and feasibility of the proposed method.
G-protein-coupled receptors (GPCRs) share a characteristic core composed of seven-transmembrane ??-helices represent by far the largest family of cell-surface molecules involved in signal transmission, accounting for ??2% of the total genes encoded by the human genome. At present, most data types supplied by databases of GPCRs and relative proteins are mainly protein structure data, ligand binding...
Some topological characteristics of random multi-hop wireless networks were researched in [1] by Keqin Li. This paper improve the main two results in [1], which are the node degree and bisection width researched in Section 2 and 5 of [1] respectively. By consider the different situations at the corner of squares, the paper generalize the two results into a akm??bkm (a, b ?? 2r) Euclidean square R,...
In this paper, the characteristic index vectors, positive and negative ideal characteristic index vector of fuzzy numbers are defined, based on the characteristic quantity of fuzzy number.Then, the ranking index is proposed according to the given fuzzy numberpsilas linear weighted distance between characteristic index vector and positive /negative ideal characteristic index vector, respectively.Finally,...
Fourier descriptor is an important method used in shape analysis and recognition. A novel method for designing the classifier of multi-dimensional data was proposed, which used radar chart of multi-statistics to show multidimensional data and applied Fourier descriptors to recognize the radar chart. Different multi-dimensional data formed different radar chart and distinguished different category...
Pattern mining gains more and more attention due to its useful applications in many areas, such as machine learning, database, multimedia, biology, and so on. Though there exist a lot of approaches for pattern mining, few of them consider the local distribution of the data. In the paper, we not only design six challenge datasets related to the local patterns, but also propose a new pattern mining...
In this paper, we propose a novel 3D human motion sequence retrieval method based on the similarity of the motion data distribution. First, for each motion sequence in the database, the self-organizing maps (SOM) clustering algorithm is adopted to partition the frames into different classes to get the associated class reference vectors. Then given a query motion, probabilistic principal component...
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