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Titlebook: Intelligent Computing Theories and Application; 14th International C De-Shuang Huang,Vitoantonio Bevilacqua,Phalguni Gu Conference proceedi

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书目名称Intelligent Computing Theories and Application
副标题14th International C
编辑De-Shuang Huang,Vitoantonio Bevilacqua,Phalguni Gu
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Intelligent Computing Theories and Application; 14th International C De-Shuang Huang,Vitoantonio Bevilacqua,Phalguni Gu Conference proceedi
描述.This two-volume set LNCS 10954 and LNCS 10955 constitutes - in conjunction with the volume LNAI 10956 - the refereed proceedings of the 14th International Conference on Intelligent Computing, ICIC 2018, held in Wuhan, China, in August 2018. The 275 full papers and 72 short papers of the three proceedings volumes were carefully reviewed and selected from 632 submissions. The papers are organized in topical sections such as Neural Networks.- Pattern Recognition.- Image Processing.- Intelligent Computing in Robotics.- Intelligent Control and Automation.- Intelligent Data Analysis and Prediction.- Fuzzy Theory and Algorithms.- Supervised Learning.- Unsupervised Learning.- Kernel Methods and Supporting Vector Machines.- Knowledge Discovery and Data Mining.- Natural Language Processing and Computational Linguistics.- Gene Expression Array Analysis.- Systems Biology.- Computational Genomics.- Computational Proteomics.- Gene Regulation Modeling and Analysis.- Protein-Protein Interaction Prediction.- Next-Gen Sequencing and Metagenomics.- Structure Prediction and Folding.- Evolutionary Optimization for Scheduling.- High-Throughput Biomedical Data Integration and Mining.- Machine Learning A
出版日期Conference proceedings 2018
关键词Supervised learning; Unsupervised learning; Reinforcement learning; Semi-supervised learning; Data minin
版次1
doihttps://doi.org/10.1007/978-3-319-95930-6
isbn_softcover978-3-319-95929-0
isbn_ebook978-3-319-95930-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2018
The information of publication is updating

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An Adaptive Segmentation Algorithm for Degraded Chinese Rubbing Image Binarization Based on Backgrocter details for degraded historical document image, we propose an adaptive segmentation algorithm for degraded historical document image binarization based on background estimation for non-uniform illumination images. The novelty of the proposed method is that find an optimal background estimation
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Parameter Selection of Image Fog Removal Using Artificial Fish Swarm Algorithm,n to solve the equation of fog formation model. To overcome the limitations, a novel defogging parameter selection algorithm based on artificial fish swarm algorithm (AFSA) is proposed in this paper. Two representative defogging algorithms are used to test the effectiveness of the method. The propos
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On Bessel Structure Moment for Images Retrieval,l Fourier-Mellin and Zernike moments in terms of represent global features. The experiments show that the feature descriptors extracting from the proposed algorithm perform better for image retrieval than conventional descriptors by comparing the retrieval accuracy with the same order.
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Optimizing Edge Weights for Distributed Inference with Gaussian Belief Propagation,alized processing. Gaussian belief propagation (GaBP) is an effective message-passing algorithm for performing inference on distributed networks, however, its accuracy and convergence can be significantly decreased as networks have higher connectivity and loops. This paper presents two empirically d
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Unmanned Ship Path Planning Based on RRT,ly-Exploring Random Tree algorithm (RRT) for path planning of unmanned ship, which can obtain an asymptotically optimal path planning in limited time. Moreover, an extension of RRT algorithm has been proposed to overcome the actual demand of multi-waypoint path planning for unmanned ship. The feasib
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