Multi-source heterogeneous information fusion is an extremely challenging problem because of the complex and highly irregular nature of environment. We consider decision fusion problem in the presence of m-dependent e...
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Digital image processing is an interdisciplinary course, which needs students have a strong background in mathematics. To help them change from passive learning to active learning, teaching reform and innovation of th...
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Association rules mining is a popular and well researched method in data mining research field , its purpose is to mine interesting relations between attributes in transaction database. Classic Apriori algorithm is on...
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A new clustering classification approach based on fuzzy closeness relationship (FCR) is studied in this paper. As we know, fuzzy clustering classification is one of important and valid methods to knowledge discovery. ...
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The image data are obtained by a variety of multimedia, information equipment, which include amount of information, extensive coverage, and redundancy in ubiquitous computing paradigm. In order to make use of these in...
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Face detection and recognition is a hot research subject in the fields of image processing, pattern recognition and computer vision, which emphasize on the enhancement of the precision of detection in as short a time ...
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How to reduce the amount of relevance judgments is an important issue in retrieval evaluation. In this paper, we propose a novel method using global statistics to rank retrieval systems without relevance judgments. In...
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Spike sorting is the essential step in analyzing recording spike signals for studying information processing mechanisms within the nervous system. Overlapping is one of the serious problems in the spike sorting of mul...
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Botnet is one of the major security threats to Internet. In this paper, botnet communication and attack patterns were introduced, and the discovery method of botnet based on abnormal behavior was studied. For the curr...
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Big tree is a hierarchical data model for efficiently managing large scale web resources. This paper presents a new type of hierarchical data model, which is inspired by resource space model. Also it could be thought ...
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