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In this paper, we propose a dictionary update method for Non-negative Matrix Factorization (NMF) with high dimensional data in a spectral conversion (SC) task. Voice conversion has been widely studied due to its potential applications such as personalized speech synthesis and speech enhancement. Exemplar-based NMF (ENMF) emerges as an effective and probably the simplest choice among all techniques...
To solve the disordered annotation problem occurred in classification mark, a dynamic ranking Abstract algorithm of web music tag is proposed. The utility of classification tags is calculated based on the log of click tags and other operation data. On the basis of fuzzy mathematics, the tag utility measurement model, utility metric algorithm and utility drift measurement algorithm are introduced respectively...
The clustering process in pattern mining of spatio-temporal trajectories is an important research content. Although there has existed extensive research on trajectory clustering, the efficiency of these algorithms is not able to meet the efficiency requirements faced with the large volumes of position data from moving objects. In order to improve the efficiency of clustering, this paper proposes two...
Since more and more multimedia data associated with spoken documents have been made available to the public, spoken document retrieval (SDR) has become an important research subject in the past two decades. Following the research tendency, many efforts have been devoted towards developing indexing and modeling techniques for representing spoken documents, but only few have been made on improving query...
We choose SCIE and CNKI as the data sources of literatures about traditional Chinese medicine (TCM) and use the information visualization software CiteSpace as the tool to analyze. In order to do hotspot and frontier analysis, we first find out the highly cited papers of TCM. Then we use CiteSpace to clearly show the hotspot and frontier research of traditional Chinese medicine both in China and the...
A novel stock trading rule is proposed in this paper. The trading rule combines self-organizing map network and K-means clustering algorithm to discover the potential features of high frequency financial data at first, and then new trading strategies are proposed to assist investors' transaction decision. The hybrid clustering based trading rule is applied to Hushen 300 Index of Chain, and compared...
Parkinson's disease is one of the most common neurodegenerative disorders, and its complex symptoms bring some difficulties for the clinical diagnosis. In this study, a method based on mathematical modeling of hand movement in spiral drawing was proposed to quantitatively evaluate the performance of patients with Parkinson's disease. Unlike the previous works, the hand movement data in spiral drawing...
The parametric analysis of H-shaped patch antenna is proposed. Double L-probe feed structure, introducing capacitive effect on the horizontal monopole, allows for compensation to the feed inductance due to long-probe. Using double feed technology achieves the symmetry of the radiation pattern. In this paper, the antenna performances with different parameters have been proposed. Compared to a conventional...
This paper systematically studies various factors of the regional risk of group events from the view of society development with integrated management theory, and an index system of comprehensive evaluation on the regional risk of group events is set up. A method of comprehensive evaluation on the regional risk of group events is designed based on Fuzzy AHP synthetic evaluation. And the practicability...
The low carbon development assessment can provide valid information to support decision making in regional sustainable development. With the support of forest carbon sinks information simulated from remote sensing data, the low carbon development assessment index framework of Fujian Province, China was constructed. After indices weighting by the fuzzy analytic hierarchy process (FAHP), the low carbon...
Reputation systems provide a promising way to build trust relationships between users in distributed cooperation systems, such as file sharing, streaming, distributed computing and social network, through which a user can distinguish good services or users from malicious ones and cooperate with them. However, most reputation models mainly focus on evaluating the qualities of different services in...
In order to solve the problems of current performance evaluation models of e-government website, we propose a performance evaluation model based on public attention, which concerns about the timeliness and rationality. The method about how the model is constructed is presented. Empirical analysis on the sampling e-government website based on our proposed model is given. Analysis results show that...
In order to solve problems of confused evaluation and weak guidance in small and medium manufacturing enterprises, a maturity evaluation model concerning the information capability of business process is proposed, which is based on the completion of core indicators at all levels of information technology. Firstly, based on the existing enterprise information model and related theories, a target evaluation...
Vegetation monitoring with spectral vegetation index (VI) has made great advances over the last several decades, and numerous vegetation indexes have been developed as well. However, the monitoring accuracy with conventional VI in rugged mountains is disturbed some extent by topographic effects. This paper presents one novel topography - adjusted vegetation index (TAVI) to obtain correct vegetation...
For the decision making problems, weights reflect index's comparatively importance. Their values directly decide the correctness of decision making results. Weights possess fuzzy and uncertain characteristics. Meanwhile their values are confirmed by decision-makers' experiences and purposes. Usually decision makers are willing or able to provide interval information, because of lack of knowledge or...
The destructive innovation is an important way for small and medium-sized enterprises (SMEs) to survive in the fierce competition. However, there are also risks of failure in destructive innovation. The current study paid more attention to the successes of destructive innovation, but few scholars studied how to analyze its risks to help decision-makers in SMEs determine whether the destructive innovative...
In recent years, the substantial increase in the volume of e-commerce transactions, consumers have been gradually changing consumption habits and consumption patterns to online shopping, but due to the problems of the website credibility, network security and etc., many internet users are outside of e-commerce. Under this condition, this article, from the perspective of consumer satisfaction, study...
While models for data provenance have been extensively studied in the literature, the efficient evaluation of the resulting provenance queries remains an open problem. Traditional query optimization techniques, like the use of general-purpose indexes, or the materialization of provenance data, fail on different fronts to address the problem. Provenance-specific optimization techniques, like the use...
Difficulties in collection of electric toll have affected the normal operation and development of power supply bureau seriously. So the arrear problem of power customer has become one of the focus questions that power supply bureau pays attention to. In this paper, based on information entropy theory and on data mining technology, we have proposed a new data mining approach. This approach can measure...
The implementation and application effect of e-commerce information system are important questions for manufacturing enterprise managers to care about. Based on the analyses of e-commerce information system in manufacturing, an integrated evaluation indices system is built up, which can be divided into 3 levels, 4 aspects, includes 20 detail indices. After the invited experts gave the relative important...
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