This book provides a broader introduction to the theories and applications of sparse coding techniques in computer vision research. It introduces sparse coding in the context of representation learning, illustrates the fundamental concepts, and summarizes the most active research directions. A variety of applications of sparse coding are discussed, ranging from low-level image processing tasks such as super-resolution and de-blurring to high-level semantic understanding tasks such as image recognition, clustering and fusion.The book is suitable to be used as an introductory overview to this field, with its theoretical part being both easy and precious enough for quick understanding. It is also of great value to experienced researchers as it offers new perspective to the underlying mechanism of sparse coding, and points out potential future directions for different applications.
This book provides a broader introduction to the theories and applications of sparse coding techniques in computer vision research. It introduces sparse coding in the context of representation learning, illustrates the fundamental concepts, and summarizes the most active research directions. A variety of applications of sparse coding are discussed, ranging from low-level image processing tasks such as super-resolution and de-blurring to high-level semantic understanding tasks such as image recognition, clustering and fusion.The book is suitable to be used as an introductory overview to this field, with its theoretical part being both easy and precious enough for quick understanding. It is also of great value to experienced researchers as it offers new perspective to the underlying mechanism of sparse coding, and points out potential future directions for different applications.
Focusing on the interconnection of tariff structure, international trade and welfare evaluation, the book investigates the characteristics of tariff structures of China and the U.S. in recent years and measures the impact of the Sino–U.S. trade friction that started in 2018. The first part of the book discusses levels and evolution trends of tariff systems of China and the U.S. from 2000 to 2014 and makes a comparison between the two countries' tariff structures. The second part centers on the Sino–U.S. trade friction in 2018, analyzing its development, overall impact on welfare, and relevant impact mechanisms. The author draws on the quantitative analysis method currently prevailing in the field of international trade, taking global value chains, intermediate goods, and variable markup into consideration. In contrast to the research conclusion applying standard trade theory, the result indicates that either unilateral imposition of additional tariffs or bilateral tariff friction will give rise to the deteriorated welfare level of both countries. The book will appeal to academics and policy makers interested in international trade, China–U.S. relation and the trade friction.
This book systematically describes the instrument setup for the measurement of nitrate radical (NO3) and dinitrogen pentoxide (N2O5), as well as the mixing ratio, chemical behaviors, and atmospheric impacts of NO3 and N2O5 in Beijing, China. It also discusses the instrument design and data analysis method in detail. Based on several field measurements of NO3 and N2O5 in Beijing, it shows the variation in concentration and the budget of NO3 and N2O5. The N2O5 heterogeneous uptake coefficient was determined using various methods, and the relationship between the N2O5 uptake coefficient and the particle properties was demonstrated, as well as the impact of NO3–N2O5 chemistry to the atmospheric oxidation and the formation of particulate nitrate. These results increase our understanding of nighttime chemistry and provide insights into the role of NO3–N2O5 chemistry in other polluted regions.
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