Xiaoyi Jiang – författare
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As one of the most important tasks in biomedical imaging, image segmentation provides the foundation for quantitative reasoning and diagnostic techniques. A large variety of different imaging techniques, each with its own physical principle and characteristics (e.g., noise modeling), often requires modality-specific algorithmic treatment. In recent years, substantial progress has been made to biomedical image segmentation. Biomedical image segmentation is characterized by several specific factors. This book presents an overview of the advanced segmentation algorithms and their applications.
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As one of the most important tasks in biomedical imaging, image segmentation provides the foundation for quantitative reasoning and diagnostic techniques. A large variety of different imaging techniques, each with its own physical principle and characteristics (e.g., noise modeling), often requires modality-specific algorithmic treatment. In recent years, substantial progress has been made to biomedical image segmentation. Biomedical image segmentation is characterized by several specific factors. This book presents an overview of the advanced segmentation algorithms and their applications.
Pattern Recognition
41st DAGM German Conference, DAGM GCPR 2019, Dortmund, Germany, September 10–13, 2019, Proceedings
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This book constitutes the proceedings of the 41st DAGM German Conference on Pattern Recognition, DAGM GCPR 2019, held in Dortmund, Germany, in September 2019.
The 43 revised full papers presented were carefully reviewed and selected from 91 submissions. The German Conference on Pattern Recognition is the annual symposium of the German Association for Pattern Recognition (DAGM). It is the national venue for recent advances in image processing, pattern recognition, and computer vision and it follows the long tradition of the DAGM conference series.
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Pattern Recognition
36th German Conference, GCPR 2014, Münster, Germany, September 2-5, 2014, Proceedings
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Pattern Recognition
8th Mexican Conference, MCPR 2016, Guanajuato, Mexico, June 22-25, 2016. Proceedings
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This book constitutes the refereed proceedings of the 8th Mexican Conference on Pattern Recognition, MCPR 2016, held in Guanajuato, Mexico, in June 2016.
The 34 revised full papers presented were carefully reviewed and selected from 60 submissions. The papers are organized in topical sections on computer vision and image analysis; pattern recognition and artificial intelligent techniques; signal processing and analysis; and applications of pattern recognition.
Modeling with Digital Ocean and Digital Coast
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Modeling with Digital Ocean and Digital Coast
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Today, climate change is among the most hotly-debated topics. The Clean Development Mechanism (CDM), one of the three financial mechanisms under the Kyoto Protocol open to developing and developed countries, was devised to assist in mitigation of global warming. This book discusses what China should do to make full use of the CDM to promote sustainable development and to meet the challenge of climate change from a legal perspective. The findings lead to the conclusion that the CDM has limitations in promoting sustainable development in China, and thus should be regarded only as a complementary instrument in combating climate change. Legal strategies for improving the implementation of CDM projects under the legal framework in China are thus put forward, and some proposals for China to meet the challenge of climate change in the post-2012 era are made.This book offers new insights to academics and policymakers both in the public and private sector. It is intended for legal practitioners and researchers on carbon trading as well as policymakers interested in the role of developing countries in climate change law. In addition, it is of interest to stakeholders of CDM projects.