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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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发表于 2025-3-21 16:56:48 | 显示全部楼层 |阅读模式
书目名称Computational Collective Intelligence. Technologies and Applications
副标题Second International
编辑Jeng-Shyang Pan,Shyi-Ming Chen,Ngoc Thanh Nguyen
视频videohttp://file.papertrans.cn/233/232195/232195.mp4
概述Unique visibility.State-of-the-art research.Fast-track conference proceedings
丛书名称Lecture Notes in Computer Science
图书封面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
关键词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
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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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GOP-Flexible Distributed Multiview Video Coding with Adaptive Side Informationis scheme, each view is WZ encoded independently at the encoder side, while the views are jointly decoded at the decoder side. Therefore, the communications of different cameras can be avoided at the encoder side. In WZ coding, SPIHT and LDPC are applied to improve compression efficiency. Meanwhile,
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A Novel Embedded Coding Algorithm Based on the Reconstructed DCT Coefficientsts, wavelet compression algorithms can be probably classified into two categories. They are the embedded wavelet coding algorithms and the non-embedded wavelet coding algorithms. For the convenience of producing the anytime cut coding stream and the progressing reconstruction results, the embedded w
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A Vehicle License Plate Recognition System Based on Spatial/Frequency Domain Filtering and Neural Ne the license recognition, the car number composed of English alphabets and digitals is readable for computers. Recognition of license is processed in two stages including feature extraction and recognition. The feature extraction contains the image locating, segmentation of the region of interest (R
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Reversible Watermarking Based on Invariant Relation of Three Pixelss. Absolute differences between pairs are calculated. And meanwhile, the absolute difference having the highest occurrence rate is obtained. 1-bit watermark is embedded into a pixel pair whose absolute difference is equal to this obtained value. Since each pixel block contains two differences, Lin’s
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Alphanumeric Shape Recognition of Fingertip Writing Trajectorys the alphanumeric shape after detecting out the trajectory of handwriting. This research presents a new method of fingertip identification. In the method, the fingertip is found out by the characteristic that the position of fingertip is usually on the external frame of hand block, and the position
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