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As the amount of data increases and the relations among them get more complex, access to information implicit in data appears more difficult, and the role of methods of getting data from diverse texts, and analyzing them becomes more significant. Of such methods is the highly effective technique of keyword extraction which shows the concept and content of the original text. In this article, a new...
Technology of automatic text summarization plays an important role in information retrieval and text classification, and may provide a solution to the information overload problem. Text summarization is a process of reducing the size of a text while preserving its information content. This paper proposes a sentences clustering based summarization approach. The proposed approach consists of three steps:...
High quality of compressed image is required in many fields such as remote sensing and medicine. A near-lossless image compression algorithm is proposed in this paper. The algorithm takes advantage of the effects of the distribution of pixels on compression ratio. The pixels are classified row by row firstly, and the classification result is recorded in a mask image. After that the image data is decomposed...
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