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Titlebook: Computational Collective Intelligence. Technologies and Applications; Second International Jeng-Shyang Pan,Shyi-Ming Chen,Ngoc Thanh Nguyen

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發(fā)表于 2025-3-21 16:56:48 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Computational Collective Intelligence. Technologies and Applications
副標(biāo)題Second International
編輯Jeng-Shyang Pan,Shyi-Ming Chen,Ngoc Thanh Nguyen
視頻videohttp://file.papertrans.cn/233/232195/232195.mp4
概述Unique visibility.State-of-the-art research.Fast-track conference proceedings
叢書(shū)名稱Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Computational Collective Intelligence. Technologies and Applications; Second International Jeng-Shyang Pan,Shyi-Ming Chen,Ngoc Thanh Nguyen
描述This volume composes the proceedings of the Second International Conference on Computational Collective Intelligence––Technologies and Applications (ICCCI 2010), which was hosted by National Kaohsiung University of Applied Sciences and Wroclaw University of Technology, and was held in Kaohsiung City on November 10-12, 2010. ICCCI 2010 was technically co-sponsored by Shenzhen Graduate School of Harbin Institute of Technology, the Tainan Chapter of the IEEE Signal Processing Society, the Taiwan Association for Web Intelligence Consortium and the Taiwanese Association for Consumer Electronics. It aimed to bring together researchers, engineers and po- cymakers to discuss the related techniques, to exchange research ideas, and to make friends. ICCCI 2010 focused on the following themes: ? Agent Theory and Application ? Cognitive Modeling of Agent Systems ? Computational Collective Intelligence ? Computer Vision ? Computational Intelligence ? Hybrid Systems ? Intelligent Image Processing ? Information Hiding ? Machine Learning ? Social Networks ? Web Intelligence and Interaction Around 500 papers were submitted to ICCCI 2010 and each paper was reviewed by at least two referees. The refer
出版日期Conference proceedings 2010
關(guān)鍵詞artificial intelligence; cognition; collective intelligence; fuzzy logic; image analysis; knowledge; optim
版次1
doihttps://doi.org/10.1007/978-3-642-16696-9
isbn_softcover978-3-642-16695-2
isbn_ebook978-3-642-16696-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Berlin Heidelberg 2010
The information of publication is updating

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Automatic and Accurate Image Matting and also a milestone in theoretic matting research. However, using spectral matting without user guides, the accuracy is usually low. The proposed modified spectral matting effectively raises the accuracy. In the proposed modified spectral matting, the palette-based component classification is prop
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