Hong Cheng – författare

Social Marketing for Public Health examines how social marketing is used as a strategy for changing health behavior in the world today. Addressing issues and trends in social marketing and public health globally, it highlights successful and measurable health behavior-changing campaigns launched by the governments, by a combination of the governments and citizens, or by the citizens themselves in various countries. Each chapter focuses on one selected country, making the content very accessible. The text provides an in-depth and up-to-date treatment of the subject matter.

This book introduces the origin, development and current state of American nature writing. It organizes many representative authors and works of American nature writing into such categories as the influence of transcendentalism, the wilderness complex, the English cultural heritage, female writers, land ethics, and refuge of the heart.As a multi-disciplinary field combining language, literature, philosophy, ecology, botany, and ethics, American nature writing seeks to tell intimate personal experiences of places and explore the connection between human spirituality and nature in a particular place, blending natural history with the history of human development. These are the focus of this book. It analyzes key representative writers of American nature writing such as Thoreau, Emerson, Burroughs, Muir, Abbey, Leopold and Williams, and their works and respective personal relationships with nature, offering the reader a fascinating insight into American nature writing.

This timely handbook brings academic excellence to international advertising research in the form of 28 contributions from over 40 leading scholars. The handbook’s comprehensive treatment highlights existing knowledge, reports major findings across the subject, and recommends directions and agendas for future research. Fills the existing gap between the rapid growth in scholarly research on international advertising and the pressing need for more high-quality research in the areaCovers 28 major areas in international advertising research, with contributions from more than 40 international advertising scholars based in over 10 countries or territoriesComprehensive treatment includes the history of international advertising, audiences and media, strategy and execution, content effects, regulation, ethics, and advertising educationHighlights existing knowledge in international advertising, reports major findings on a broad range of topics, and offers expert recommendations on directions for future researchContributors represent the most highly respected academics among international advertising researchers

This important text/reference presents state-of-the-art research on intelligent vehicles, covering not only topics of object/obstacle detection and recognition, but also aspects of vehicle motion control. With an emphasis on both high-level concepts, and practical detail, the text links theory, algorithms, and issues of hardware and software implementation in intelligent vehicle research. Topics and features: presents a thorough introduction to the development and latest progress in intelligent vehicle research, and proposes a basic framework; provides detection and tracking algorithms for structured and unstructured roads, as well as on-road vehicle detection and tracking algorithms using boosted Gabor features; discusses an approach for multiple sensor-based multiple-object tracking, in addition to an integrated DGPS/IMU positioning approach; examines a vehicle navigation approach using global views; introduces algorithms for lateral and longitudinal vehicle motion control.

This important text/reference presents state-of-the-art research on intelligent vehicles, covering not only topics of object/obstacle detection and recognition, but also aspects of vehicle motion control. With an emphasis on both high-level concepts, and practical detail, the text links theory, algorithms, and issues of hardware and software implementation in intelligent vehicle research. Topics and features: presents a thorough introduction to the development and latest progress in intelligent vehicle research, and proposes a basic framework; provides detection and tracking algorithms for structured and unstructured roads, as well as on-road vehicle detection and tracking algorithms using boosted Gabor features; discusses an approach for multiple sensor-based multiple-object tracking, in addition to an integrated DGPS/IMU positioning approach; examines a vehicle navigation approach using global views; introduces algorithms for lateral and longitudinal vehicle motion control.

This unique text/reference presents a comprehensive review of the state of the art in sparse representations, modeling and learning. The book examines both the theoretical foundations and details of algorithm implementation, highlighting the practical application of compressed sensing research in visual recognition and computer vision. Topics and features: describes sparse recovery approaches, robust and efficient sparse representation, and large-scale visual recognition; covers feature representation and learning, sparsity induced similarity, and sparse representation and learning-based classifiers; discusses low-rank matrix approximation, graphical models in compressed sensing, collaborative representation-based classification, and high-dimensional nonlinear learning; includes appendices outlining additional computer programming resources, and explaining the essential mathematics required to understand the book.

This unique text/reference presents a comprehensive review of the state of the art in sparse representations, modeling and learning. The book examines both the theoretical foundations and details of algorithm implementation, highlighting the practical application of compressed sensing research in visual recognition and computer vision. Topics and features: describes sparse recovery approaches, robust and efficient sparse representation, and large-scale visual recognition; covers feature representation and learning, sparsity induced similarity, and sparse representation and learning-based classifiers; discusses low-rank matrix approximation, graphical models in compressed sensing, collaborative representation-based classification, and high-dimensional nonlinear learning; includes appendices outlining additional computer programming resources, and explaining the essential mathematics required to understand the book.

The 3-volume set LNAI 12712-12714 constitutes the proceedings of the 25th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2021, which was held during May 11-14, 2021.The 157 papers included in the proceedings were carefully reviewed and selected from a total of 628 submissions.

The 3-volume set LNAI 12712-12714 constitutes the proceedings of the 25th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2021, which was held during May 11-14, 2021.The 157 papers included in the proceedings were carefully reviewed and selected from a total of 628 submissions.

The 3-volume set LNAI 12712-12714 constitutes the proceedings of the 25th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2021, which was held during May 11-14, 2021.The 157 papers included in the proceedings were carefully reviewed and selected from a total of 628 submissions.

The two-volume set CCIS 662 and CCIS 663 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition, CCPR 2016, held in Chengdu, China, in November 2016.The 121 revised papers presented in two volumes were carefully reviewed and selected from 199 submissions. The papers are organized in topical sections on robotics; computer vision; basic theory of pattern recognition; image and video processing; speech and language; emotion recognition.

The two-volume set CCIS 662 and CCIS 663 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition, CCPR 2016, held in Chengdu, China, in November 2016.The 121 revised papers presented in two volumes were carefully reviewed and selected from 199 submissions. The papers are organized in topical sections on robotics; computer vision; basic theory of pattern recognition; image and video processing; speech and language; emotion recognition.

This book offers readers a systematic exposition of the theoretical knowledge and application technology of Human-Robot Collaboration, Human-Robot Intelligence, and Human-Robot Dynamical Systems, filling an important gap in the current artificial intelligence research community. The highlights of this book include the critical concept of the Human-Robot Dynamical System and the pioneering technology of Human-Robot Dynamics Learning. Specifically, the Human-Robot Dynamical System represents a significant new research direction in the field of Human-Robot Intelligence. It encompasses the complex dynamical systems involved in human-robot collaboration and interaction applications, such as robot dynamics control, human behavior understanding, and human-robot motion-cognition-coupled interaction.Human-Robot Dynamics Learning technology is designed specifically for Human-Robot Dynamical Systems. It is an innovative machine learning approach that combines techniques from artificial neural networks, control system theory, and classical mechanics. This technology excels in achieving precise mathematical expression and accurate modeling of the dynamic behavior of human-robot systems.It provides an advanced framework for studying the theoretical and technological challenges in Human-Robot Collaboration and interaction applications, and it could offer a new research direction for developing the next generation of artificial intelligence.

This book constitutes the refereed proceedings of the 4th International Conference on Cognitive Computation and Systems, ICCCS 2025, held in Chengdu, China, November 22–23, 2025.The 79 full papers presented in this book were carefully selected and reviewed from 199 submissions. The papers are organized in the following topical sections:Part I: Cognitive computing and Multimodal information processingPart II: Intelligent robotics