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Titlebook: Computer Vision – ACCV 2016 Workshops; ACCV 2016 Internatio Chu-Song Chen,Jiwen Lu,Kai-Kuang Ma Conference proceedings 2017 Springer Intern

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书目名称Computer Vision – ACCV 2016 Workshops
副标题ACCV 2016 Internatio
编辑Chu-Song Chen,Jiwen Lu,Kai-Kuang Ma
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Computer Vision – ACCV 2016 Workshops; ACCV 2016 Internatio Chu-Song Chen,Jiwen Lu,Kai-Kuang Ma Conference proceedings 2017 Springer Intern
描述The three-volume set, consisting of LNCS 10116, 10117, and 10118, contains carefully reviewed and selected papers presented at 17 workshops held in conjunction with the 13th Asian Conference on Computer Vision, ACCV 2016, in Taipei, Taiwan in November 2016. The 134 full papers presented were selected from 223 submissions. LNCS 10116 contains the papers selected 
出版日期Conference proceedings 2017
关键词classification; human-machine interaction; image processing; neural network; reinforcement learning
版次1
doihttps://doi.org/10.1007/978-3-319-54526-4
isbn_softcover978-3-319-54525-7
isbn_ebook978-3-319-54526-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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Bayesian Saliency Model for Focal Liver Lesion Enhancement and Detectione data. This paper proposes a novel focal lesion enhancement strategy by extracting a lesion saliency map, which represents the deviation degree of the uncommon or lesion tissue from the common tissues (liver and vessel) in CT volumes. The saliency map can be constructed by exploring the existing pr
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A Hybrid Convolutional Neural Network for Plankton Classification The large amount of plankton species and complex relationship among different classes bring difficulty for us to design an automatic plankton classification system. Thus, we develop our model based on convolutional neural network and aim to overcome these shortages. We consider two different ways t
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Detection of Driver Drowsiness Using 3D Deep Neural Network and Semi-Supervised Gradient Boosting Ma such as eye-closure, nodding and yawning. It is even harder to deal with it when she wears sunglasses or scarf, appearing in the data set given for this challenge. One of the popular ways to analyze facial behavior has been using standard face models such as active shape model or active appearance
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