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Hashing has been widely used for approximate nearest neighbor search of high-dimensional multimedia data. In this paper, we propose a novel hash learning framework that maps high-dimensional multimodal data into a common Hamming space where the cross-modal similarity can be measured using Hamming distance. Unlike existing cross-modal hashing methods that learn hash functions in the form of numeric...
This paper proposed a low-complexity algorithm and of analysis and synthesis quadrature mirror filter banks (AQMF, SQMF) on the spectral band replication (SBR) for digital radio mondiale (DRM). Based on recent Lai et al.'s concept, an extended issue is addressed form the view point of recursively computing the AQMF and SQMF coefficients. The proposed recursively computational method not only combines...
The paper analyzes the listed companies in Shanghai and Shenzhen Stoke Exchange during the Period of year 2007 to 2008. The paper uses earnings aggressiveness, earnings smoothing as the substitute variable of accounting transparency, and researches the impact of different corporate governance structure on accounting transparency. We find that shareholding proportion of first shareholder has negative...
Data mining technology makes it possible to discover knowledge from daily operational data. As we know, Web log contains a lot of information about web users' behavior on the Website, for example, Web users' access path. Information discovered from those data will be very useful to website design and promotion. In this paper, we propose an analysis model by using multidimensional association rules...
Cluster ensembles method is considered as a robust and accurate alternative to single clustering runs. It mainly consists of both generation of individual member and fusion methods. In this paper, we study the cluster ensembles where individual members are obtained based on k-means clustering algorithm and fusion method of hierarchical clustering is used. Three consensus functions, which are single...
In view of the adverse effects of declining cluster, a method of evaluating risk level of mature cluster is developed. Through analyzing causes of declining, a risk indexes system is established. The features of clusterpsilas operation conditions with different risk levels are described. Owing to the complexity and uncertainty of cluster system, a TOPSIS comprehensive evaluation method based on fuzzy...
In today's networked storage environment, it is common to have a hierarchy of caches where the lower levels of the hierarchy are accessed by multiple clients. This sharing can have both positive or negative effects. While data fetched by one client can be used by another client without incurring additional delays, clients competing for cache buffers can evict each other's blocks and interfere with...
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