Qiang Ji – författare

Probabilistic Graphical Models for Computer Vision introduces probabilistic graphical models (PGMs) for computer vision problems and teaches how to develop the PGM model from training data. This book discusses PGMs and their significance in the context of solving computer vision problems, giving the basic concepts, definitions and properties. It also provides a comprehensive introduction to well-established theories for different types of PGMs, including both directed and undirected PGMs, such as Bayesian Networks, Markov Networks and their variants.

Discusses PGM theories and techniques with computer vision examples Focuses on well-established PGM theories that are accompanied by corresponding pseudocode for computer vision Includes an extensive list of references, online resources and a list of publicly available and commercial software Covers computer vision tasks, including feature extraction and image segmentation, object and facial recognition, human activity recognition, object tracking and 3D reconstruction

This book constitutes the proceedings of the Third Workshop on Face and Facial Expression Recognition from Real World Videos, FFER 2018, and the Second International Workshop on Deep Learning for Pattern Recognition, DLPR 2018, held at the 24th International Conference on Pattern Recognition, ICPR 2018, in Beijing, China, in August 2018.The 7 papers presented in this volume were carefully reviewed and selected from 9 submissions. They deal with topics such as histopathological images, action recognition, scene text detection, speech recognition, object classification, presentation attack detection, and driver drowsiness detection.

This book constitutes the thoroughly refereed conference proceedings of the International Workshop on Face and Facial Expression Recognition from Real World Videos in conjunction with the 22nd International Conference on Pattern Recognition held in Stockholm, Sweden, in August 2014.

This book constitutes the proceedings of the Third Workshop on Video Analytics for Audience Measurement, VAAM 2016, and the Second International Workshop on Face and Facial Expression Recognition from Real World Videos, FFER 2016, held at the 23rd International Conference on Pattern Recognition, ICPR 2016, in Cancun, Mexico, in December 2016.

This book focuses on the hotspots and frontier issues of China’s energy and critical mineral security strategy, aiming to develop a general framework to understand the new security landscape of constructing a modern energy system and accelerating the low-carbon transition. It attempts to sketch out the core issues of energy and critical mineral security in China’s current and future low-carbon transition process and then bring forward a combination of theoretical and empirical analysis on the essential issues. This book ranges from general discussions of current essential issues in China’s energy and critical mineral security to quantitative analysis of key themes, combining the strategy and planning of resource sectors with the practical experience of the energy and mining industry. It aims to present an overview of energy and critical mineral security in China’s low-carbon transition, facilitating the demands for both academic research and policy-making. While the materials can provide useful knowledge to policymakers, the book can also inspire new research ideas in the relevant area.

Using the methods of economics and psychology, this book studies the driving factors of household energy consumption change, household energy consumption behavior and incentive policies related to energy consumption in China. It evaluates the effect of relevant policies to motivate energy-saving behaviors in residential sectors, and explains the mechanism of energy-saving policies. This book helps to build a full picture of household energy consumption of China.

This book focuses on the frontier issues in climate finance and aims to develop a general framework to understand the financial pathways towards a successful energy transition. It builds upon the general descriptions of the current status and future challenges towards carbon neutral targets, and then bring forward a combination of theoretical and empirical analysis on the critical issues related to climate finance. Estimated by the International Energy Agency (IEA), trillions dollars of investment in energy sector are needed to achieve net-zero emission scenario. It provides a huge opportunity for our economies, meanwhile creates considerable challenges to the existing system. Both financing and investment in such an unprecedented scale cannot possibly be satisfied by the current financial architecture, which creates demands for restructuring in the financial sector, developing innovative financial instruments, building mechanisms to attract private investment, and establishing human resources to facilitate climate financing and investment. This area is essentially interdisciplinary, which requires a fundamental reconsideration of standard approaches. Aiming to satisfy the broad interests from both academia and policymakers, the contents of this book range from general discussions on critical issues to advanced statistical analyses on key topics. Authors hope to bring forward a general picture about climate finance and facilitate the demands for both academic research and policymaking. It should also provide a good guidance for graduate students interested in this subject. The main contents of this book are based on solid research outcomes but with clear policy relevance. The book combines finance theory and practices in both financial markets and energy sectors to reflect the complex nature of financing for energy transition. While the materials can provide useful knowledge to policymakers, the book can also inspire new research ideas in the relevant area.