Titlebook: Cognitive Systems; Joint Chinese-German Ruqian Lu,Jörg H. Siekmann,Carsten Ullrich Conference proceedings 2007 Springer-Verlag Berlin Heide

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书目名称Cognitive Systems影响因子(影响力)




书目名称Cognitive Systems影响因子(影响力)学科排名




书目名称Cognitive Systems网络公开度




书目名称Cognitive Systems网络公开度学科排名




书目名称Cognitive Systems被引频次




书目名称Cognitive Systems被引频次学科排名




书目名称Cognitive Systems年度引用




书目名称Cognitive Systems年度引用学科排名




书目名称Cognitive Systems读者反馈




书目名称Cognitive Systems读者反馈学科排名

plasma

On the Effectiveness of Visualizations in a Theory of Computing Courseions beyond the standard verbal explanations in a classroom. The outcome of the first test at HKUST was inconclusive, while the second test at Fudan University showed a clear advantage for those students who had access to visualizations.

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P-Terse: A Peer-to-Peer Based Text Retrieval and Search Systemeatures: 1) The text content of the shared documents is searchable. 2) The system is open for extensions. 3) Our search and query processing techniques are implemented in the system. These techniques are designed for achieving high efficiency and scalability. The presentation of the system includes

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Identifying Semantic Relations Between Named Entities from Chinese Textsdel with three-stage pipeline architecture for Chinese information extraction has been proposed. In this paper, we concentrate on the presentation for the third stage, viz., the identification of named entity relations (NERs). A learning and identification approach for NERs called positive and negat

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incubus

Analyzing Image Texture from Blobs Perspectiveing the blobs in the textured image. Three texture description schemes arising from this motivation are discussed and their performance is experimentally evaluated. The experiment results show that a 94.9% correct classification rate on the entire Brodatz set of 112 different types of texture is ach

preservative

Access to Contenteases exponentially. In this paper we will first address the problem of content annotation. The core part of the paper is a description of the LISy system which analyses TV content and allows the user to access it using a natural language dialogue system. Finally we will give a brief overview of the

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