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Computer vision is the science and technology of machines that see. As a scientific discipline, computer vision is concerned with the theory and technology for building artificial systems that obtain information from images. The image data can take many forms, such as a video sequence, views from multiple cameras, or multi-dimensional data from a medical scanner. As a technological discipline, computer vision seeks to apply the theories and models of computer vision to the construction of computer vision systems. Examples of applications of computer vision systems include systems for controlling processes (e.g. an industrial robot or an autonomous vehicle). Detecting events (e.g. for visual ...
The two-volume set CCIS 483 and CCIS 484 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition, CCPR 2014, held in Changsha, China, in November 2014. The 112 revised full papers presented in two volumes were carefully reviewed and selected from 225 submissions. The papers are organized in topical sections on fundamentals of pattern recognition; feature extraction and classification; computer vision; image processing and analysis; video processing and analysis; biometric and action recognition; biomedical image analysis; document and speech analysis; pattern recognition applications.
After several decades of development, the socialist market economy of China is now the world’s second largest economy by nominal GDP. China is also the largest economy by purchasing power parity according to the International Monetary Fund. In tandem with the development of the Chinese economy, China’s cancer burden is rising rapidly due to an ageing population and the adoption of unhealthy lifestyle behaviours. According to the data from the National Central Cancer Registry (NCCR) of China, the incidence and mortality of cancer have been increasing rapidly in China. In recent years, cancer has been the leading cause of death among city residents and the second cause of death among rural...
This book reexamines Chinese sociology's point of departure and boundaries of western sociology from a new academic perspective, and offers a new definition of the essence and mission of sociology, drawing and critically reflecting on the ideological and theoretical theories of the classic sociologists. On this basis, it makes a careful study of the origin of Confucian classics and western sources of Chinese sociology and analyses the origin and evolution of Chinese sociology at the intersection of Chinese and western academic history. Further, it provides a deep and thorough discussion of the social theories of Chinese sociology pioneers and founders (such as Fu Yan, Youwei Kang, and Qichao...
00 In classical Chinese, The Great Enterprise means winning The Mandate of heaven to rule over China, the Central Kingdom. This two-volume work on The Great Enterprise of the Manchus is the first scholarly narrative in any language relating their conquest of China during the seventeenth century. In classical Chinese, The Great Enterprise means winning The Mandate of heaven to rule over China, the Central Kingdom. This two-volume work on The Great Enterprise of the Manchus is the first scholarly narrative in any language relating their conquest of China during the seventeenth century.
This book constitutes the second part of the refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2014, and of the International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2014, held in Shanghai, China, in September 2014. The 159 revised full papers presented in the three volumes of CCIS 461-463 were carefully reviewed and selected from 572 submissions. The papers of this volume are organized in topical sections on advanced neural network theory and algorithms; advanced evolutionary computing theory and algorithms, such as particle swarm optimization, differential evolution, ant colonies, artificial life, artificial immune systems and genetic algorithm; fuzzy, neural, and fuzzy-neuro hybrids; intelligent modeling, monitoring, and control of complex nonlinear systems; intelligent modeling and simulation of climate change; communication and control for distributed networked systems.