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

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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 booklet constitutes the refereed complaints of the eighth foreign convention on energetic Media expertise, AMT 2012, held in Macau, China, in December 2012. The sixty five revised complete papers have been conscientiously reviewed and chosen from a various submissions. The papers are prepared in topical sections on understanding multi-agent structures, info mining, ontology mining, internet reasoning, social functions of lively media, human-centered computing, personalization and variation, shrewdpermanent electronic artwork 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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Additional info for Active Media Technology: 8th International Conference, AMT 2012, Macau, China, December 4-7, 2012. Proceedings

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Changeup ball has low recall caused by limited training data (accounting for only 2% of all pitched). Table 1. 5% Automatic Player Behavior Analyses from Baseball Broadcast Videos 17 Besides, we also compare the recognition results between the Takahashi et al. method [11] and our method, as shown in Table 3. , and use a different classification method, thereby achieving significant accuracy. Table 2. 0% Two-seam Fastball Slider Circle-changeup Changeup Precision Table 3. Comparisons between two methods Number of pitch types Number of Number of pitchers pitches Number of features Takahashi et al.

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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. The keyword is identified according to the weight of the word. 5 where r is a blog post, tk is a word, W eight(tk , r) is the weight of tk in r, T F (tk , r) is the frequency of tk in the text of r, N is the number of blog posts, and Nk is the number of blog posts where tk appears. A theme model is the basis of an event model. When two events are compared, each theme in one event model is compared with that in the other event model.

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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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