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This book is a study of knowledge production about China and the Chinese civilization and as such it is a critique of the ways in which knowledge about the Chinese civilization is produced. It is not primarily intended as one that sets out to expose biases and prejudices against China, correct errors and misrepresentations of Chinese civilization, and dispute misperceptions and misinterpretations of Chinese materials, although all these issues do occur in the book. The overall objective is to get behind and beneath all these problems in order to uncover the motivations, mental frameworks, attitudes, and reasons for the abovementioned phenomena, which the author terms "Sinologism".
The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
In this innovative work, Ming Dong Gu examines Chinese literature and traditional Chinese criticism to construct a distinctly Chinese theory of fiction and places it within the context of international fiction theory. He argues that because Chinese fiction, or xiaoshuo, was produced in a tradition very different from that of the West, it has formed a system of fiction theory that cannot be adequately accounted for by Western fiction theory grounded in mimesis and realism. Through an inquiry into the macrocosm of Chinese fiction, the art of formative works, and theoretical data in fiction commentaries and intellectual thought, Gu explores the conceptual and historical conditions of Chinese fiction in relation to European and world fiction. In the process, Gu critiques and challenges some accepted views of Chinese fiction and provides a theoretical basis for fresh approaches to fiction study in general and Chinese fiction in particular. Such masterpieces as the Jin Ping Mei (The Plum in the Golden Vase) and the Hongloumeng (The Story of the Stone) are discussed at length to advance his notion of fiction and fiction theory.
The refereed post-proceedings of the International Conference on Computational Intelligence and Security are presented in this volume. The 116 papers were submitted to two rounds of careful review. Papers cover bio-inspired computing, evolutionary computation, learning systems and multi-agents, cryptography, information processing and intrusion detection, systems and security, image and signal processing, and pattern recognition.
Enlightenment in Dispute is the first comprehensive study of the revival of Chan Buddhism in seventeenth-century China. Focusing on the evolution of a series of controversies about Chan enlightenment, Jiang Wu describes the process by which Chan reemerged as the most prominent Buddhist establishment of the time. He investigates the development of Chan Buddhism in the seventeenth century, focusing on controversies involving issues such as correct practice and lines of lineage. In this way, he shows how the Chan revival reshaped Chinese Buddhism in late imperial China. Situating these controversies alongside major events of the fateful Ming-Qing transition, Wu shows how the rise and fall of Chan Buddhism was conditioned by social changes in the seventeenth century.
An unprecedented passion for saving lives swept through late Ming society, giving rise to charitable institutions that transcended family, class, and religious boundaries. Analyzing lecture transcripts, administrative guidelines, didactic tales, and diaries, Joanna Handlin Smith abandons the facile explanation that charity was a response to poverty and social unrest and examines the social and economic changes that stimulated the fervor for doing good. With an eye for telling details and a finesse in weaving the voices of her subjects into her narrative, Smith brings to life the hard choices that five men faced when deciding whom to help, how to organize charitable distributions, and how to ...
The six volume set LNCS 11361-11366 constitutes the proceedings of the 14th Asian Conference on Computer Vision, ACCV 2018, held in Perth, Australia, in December 2018. The total of 274 contributions was carefully reviewed and selected from 979 submissions during two rounds of reviewing and improvement. The papers focus on motion and tracking, segmentation and grouping, image-based modeling, dep learning, object recognition object recognition, object detection and categorization, vision and language, video analysis and event recognition, face and gesture analysis, statistical methods and learning, performance evaluation, medical image analysis, document analysis, optimization methods, RGBD and depth camera processing, robotic vision, applications of computer vision.
This vigorously-researched publication for advanced graduate students and fellow scholars of the Chinese Pure Land tradition (Jingtu famen) in the wider context of Chinese Buddhism extends the horizon opened up by recent leading scholars to reconstruct a more insightful understanding of the Jingtu famen and the notion of zong. Focusing on previously unstudied writings of Sheng'an Shixian 省庵實賢 (1686–1734), the findings support the argument that the Jingtu famen is an advanced form of Mahāyānist meditation rooted in the Mādhyamika and Yogācāra traditions. The original English translation of Master Shixian’s writings provided also paves the way for other researchers to conduct new and extended studies.
The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.* The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in m...