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This book mainly addresses the position, function, influence, and values of folk oral literature in the history of Chinese literature. Divided into 14 chapters, it systematically covers central aspects of folklore literature such as ballads, folk songs, Bianwen, Zajuci, Guzici, Zhugongdiao, Sanqu, Baojuan, Tanci, Zidishu, and so on from the Pre-Qin to the late Qing Dynasties, filling several gaps in literary history studies. It is a comprehensive literary work, and many of the materials cited here are rare and difficult to find. In addition, the book proposes some important theories, especially six highly generalized qualities of folk literature, namely that it is: popular, collective, oral, fresh, effusive, and innovative. With detailed, extensive materials, and quotations, the book represents the most systematic and comprehensive work to date on ancient Chinese folk literature. It is mutually complementary with Guowei Wang’s A Textual Research of the Traditional Chinese Opera in the Song and Yuan Dynasties and Xun Lu’s A Brief History of Chinese Fiction; all three works are regarded as the most essential classics for researching the history of Chinese literature.
His developers had also hidden all the shortcuts in human evolution into the game. In order to obtain the so-called "Life Code", a group of strong men were running amok, they were willing to do anything they could to get their hands on. National forces and large financial groups were all in place to engage in fierce battles, and the fate of the human race had changed because of this game. Ye Wei, a college student who had just graduated, would he be able to carve out a path of blood for himself?
The four-volume set LNCS 6492-6495 constitutes the thoroughly refereed post-proceedings of the 10th Asian Conference on Computer Vision, ACCV 2009, held in Queenstown, New Zealand in November 2010. All together the four volumes present 206 revised papers selected from a total of 739 Submissions. All current issues in computer vision are addressed ranging from algorithms that attempt to automatically understand the content of images, optical methods coupled with computational techniques that enhance and improve images, and capturing and analyzing the world's geometry while preparing the higher level image and shape understanding. Novel gemometry techniques, statistical learning methods, and modern algebraic procedures are dealt with as well.
The four-volume set LNCS 6492-6495 constitutes the thoroughly refereed post-proceedings of the 10th Asian Conference on Computer Vision, ACCV 2009, held in Queenstown, New Zealand in November 2010. All together the four volumes present 206 revised papers selected from a total of 739 Submissions. All current issues in computer vision are addressed ranging from algorithms that attempt to automatically understand the content of images, optical methods coupled with computational techniques that enhance and improve images, and capturing and analyzing the world's geometry while preparing the higher level image and shape understanding. Novel gemometry techniques, statistical learning methods, and modern algebraic procedures are dealt with as well.
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The four-volume set LNCS 6492-6495 constitutes the thoroughly refereed post-proceedings of the 10th Asian Conference on Computer Vision, ACCV 2009, held in Queenstown, New Zealand in November 2010. All together the four volumes present 206 revised papers selected from a total of 739 Submissions. All current issues in computer vision are addressed ranging from algorithms that attempt to automatically understand the content of images, optical methods coupled with computational techniques that enhance and improve images, and capturing and analyzing the world's geometry while preparing the higher level image and shape understanding. Novel gemometry techniques, statistical learning methods, and modern algebraic procedures are dealt with as well.
This book constitutes the refereed proceedings of the Second CCF International Conference on Artificial Intelligence, CCF-ICAI 2019, held in Xuzhou, China in August, 2019. The 23 papers presented were carefully reviewed and selected from 97 submissions. The papers are organized in topical sections on deep learning, image and video processing, NLP and recommender system, machine learning algorithms, and AI applications.
This book systematically illustrates the dynamic mechanical behaviors and discusses the fundamentals of the constitutive modeling of roller-compacted concrete (RCC), influenced by the construction technique and mix design. Four typical problems are analyzed using laboratory tests, numerical simulation and theoretical analysis, i.e., to illustrate the special dynamic mechanical behaviors of RCC, to reveal the dynamic size-dependence of mechanical properties, to discuss the aggregate size effect on dynamic mechanical properties, and to modify the dynamic constitutive model for RCC. Generally, the constitutive modeling of RCC needs a comprehensive understanding of dynamic size-dependence and ag...