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Layout pattern classification, which groups similar layout clips into clusters, underlies a variety of design for manufacturability (DFM) applications such as hotspot library generation, hierarchical data storage, and yield optimization speedup. The key challenges of layout pattern classification are clip representation and clip clustering, while the mutually conflicting concerns are efficiency and...
Web mining focuses on extracting useful information from large volumes of Web data. Web usage mining (WUM) is one of important application which applies Web mining techniques to discovery usage patterns from Web accessing data. Meanwhile clustering performs a key role in distinguishing different kinds of usage patterns from raw data. Considering usage features of activities, information scope and...
The classification of network users is very important in user behavior analysis. The algorithm which was based entropy and latent Dirichlet allocation (LDA) was used in this paper. It is important but difficult to select an appropriate number of topics for a specific dataset. Entropy was first used to solve the problem. A concept named difference-entropy was built to determine the number of topics...
This paper designs a framework for the new media services platform in China. By analyzing the functions of key modules, we establish an ontology semantic framework for description and organizing the heterogeneous new media resources of data, data flows, streams, and rules of the services detected from the user interactions context and node trust evaluation. Also we establish an optimal model for RSS...
The ever-growing creation of data requires large-scale network storage systems. One of the key issues related such systems is how to place several petabytes of data among large number of devices. Itpsilas necessary to design a reliable, fair, adaptable data placement algorithm. All proposed approaches are oblivious to the reliability-based requirements of data in such systems. In this paper, we present...
A feature fusion algorithm with application to facial expression recognition is presented. Firstly, the brows, eyes and mouth areas are segmented from the facial expression images, and are computed with Higher-order Local Auto-Correlation (HLAC) method, and the Weighted Principal Component Analysis (WPCA) is used to reduce dimensions secondly, in which the weights values are obtained according to...
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