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With the rapid development of the Web2.0 communities, many researchers have been attracted by the concept of folksonomy from the field of data mining and information retrieval. Finding out semantic correlation of tags is avid requirement for Web2.0 application. However, no proper algorithm can tackle this task very well. This paper proposes a core-tag oriented clustering method to handle the task...
Applying data mining algorithms to microarray data analysis is an interesting and promising work. Gene Expression Programming (GEP) is a new development of evolution computation. GEP performs global search and discover the classification discriminant with high accuracy. However, it is undesirable to apply GEP on microarray classification directly, since the evolution efficiency of GEP is low when...
In this paper a novel practical and adaptive framework for super-resolution is proposed. Existing super-resolution algorithms are limited by several assumptions, fit different imaging environments; hence they may fail when facing real complex scenes. We propose to divide the target image into adaptive-sized blocks, and apply different conventional algorithms to different parts of the image with different...
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