Yin-Fu Huang, Shih-Hao Wang (auth.), Runhe Huang, Ali A.'s Active Media Technology: 8th International Conference, AMT PDF

By Yin-Fu Huang, Shih-Hao Wang (auth.), Runhe Huang, Ali A. Ghorbani, Gabriella Pasi, Takahira Yamaguchi, Neil Y. Yen, Beijing Jin (eds.)

ISBN-10: 3642352359

ISBN-13: 9783642352355

ISBN-10: 3642352367

ISBN-13: 9783642352362

This e-book constitutes the refereed lawsuits of the eighth overseas convention on energetic Media know-how, AMT 2012, held in Macau, China, in December 2012. The sixty five revised complete papers have been conscientiously reviewed and chosen from a quite a few submissions. The papers are equipped in topical sections on wisdom multi-agent platforms, information mining, ontology mining, net reasoning, social functions of lively media, human-centered computing, personalization and version, clever electronic paintings and e-learning.

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Read or Download Active Media Technology: 8th International Conference, AMT 2012, Macau, China, December 4-7, 2012. Proceedings PDF

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Extra info for Active Media Technology: 8th International Conference, AMT 2012, Macau, China, December 4-7, 2012. Proceedings

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Detecting Hot Topics about a Person from Blogspace. In: Proceedings of the Sixteenth European-Japanese Conference on Information Modeling and Knowledge Bases, pp. 290–294 (2006) 7. : Anonymity Options and Professional Participation in an Online Community of Practice. In: Proceedings of the 2005 Conference on Computer Support for Collaborative Learning, pp. 272–280 (2005) 8. : The Social Network Analysis of Blogosphere. Harbin Institute of Technology, Harbin (2007) 9. : Term-weighting Approaches in Automatic Text Retrieval.

Otherwise, the report is considered to be the first report of a new event. Topic detection based on the view of event reports first adopts single pass clustering algorithm to extract events which occur in a given time interval. Then evolutionary relationship between events is identified by the content similarity between events and event distribution in different topics. At last, the topic model is created or updated by detecting the new event and tracking the previous event. A keyword is a basic element for a theme model.

Yang 5 Experimental Results In the experiments, the training/test videos were recorded from the broadcast TV programs of “Chinese Professional Baseball League”. 97fps. Two performance measures of precision and recall were applied to analyze the accuracy of the pitch type recognition and swing event detection. NC NC +N F Precision = Recall = (2) NC NC +NM (3) totalc total (4) Accuracy = where NC is the number of pitch types (or swing events) that were retrieved and correctly detected, NF is the number of pitch types (or swing events) that were retrieved but falsely detected, and NM is the number of missed pitch types (or swing events), totalc is the number of all pitch types (or swing events) correctly predicted, and total is the number of all pitch types (or swing events).

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Active Media Technology: 8th International Conference, AMT 2012, Macau, China, December 4-7, 2012. Proceedings by Yin-Fu Huang, Shih-Hao Wang (auth.), Runhe Huang, Ali A. Ghorbani, Gabriella Pasi, Takahira Yamaguchi, Neil Y. Yen, Beijing Jin (eds.)


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