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In this paper, ant colony algorithm was improved from two aspects, then a novel hybrid ant colony and agglomerate document clustering algorithm, hybrid-AC&A, has been proposed based on ant colony model and agglomerate clustering algorithms. Firstly, Compact algorithm was applied while ant dropping its load. Secondly, evaluate function based schedule algorithm was applied while ant obtains load...
This paper describes a software framework we designed and implemented for the development and research in the area of multimodal human-computer interface. The proposed framework is based on publish/subscribe architecture, which allows developers and researchers to conveniently configure, test and expand their system in a modular and incremental manner. In order to achieve reliable and efficient data...
In order to overcome the shortcomings of traditional automatic summarization technologies, this paper proposes a novel automatic method for Webpage summarization based on user's query. This method can be divided into the following steps. First, a HTML document is segmented into different topic blocks. Second, the weight of every sentence in a topic block is calculated in view of query keywords. Finally,...
Recently, the video-based technologies play an important role in monitoring fields, including the detection, identification and tracking of moving object. This paper designs an effective pedestrian detection and tracking algorithm in the traffic environment. Firstly, extract the moving prospect from the background in the video images, using conventional frame difference algorithm. The moving targets...
This paper introduces an extensible distributed file system framework, YaFS, using heterogeneous online storage services as its back-ends. It provides a configurable solution for simplifying the usage of multiple storage resources and accessing data ubiquitously and safely. YaFS is POSIX compliant, so that it could support most of the existing applications seamlessly. An offline mode is used to cope...
Market basket analysis (also known as association-rule mining) is a useful method of discovering customer purchasing patterns by extracting associations or co-occurrences from stores' transactional databases. Because the information obtained from the analysis can be used in forming marketing, sales, service, and operation strategies, it has drawn increased research interest. The existing methods,...
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