This volume introduces machine learning techniques that are particularly powerful and effective for modeling multimedia data and common tasks of multimedia content analysis. It systematically covers key machine learning techniques in an intuitive fashion and demonstrates their applications through case studies. Coverage includes examples of unsupervised learning, generative models and discriminative models. In addition, the book examines Maximum Margin Markov (M3) networks, which strive to combine the advantages of both the graphical models and Support Vector Machines (SVM).
Intelligent Image Databases: Towards Advanced Image Retrieval addresses the image feature selection issue in developing content-based image retrieval systems. The book first discusses the four important issues in developing a complete content-based image retrieval system, and then demonstrates that image feature selection has significant impact on the remaining issues of system design. Next, it presents an in-depth literature survey on typical image features explored by contemporary content-based image retrieval systems for image matching and retrieval purposes. The goal of the survey is to determine the characteristics and the effectiveness of individual features, so as to establish guidelines for future development of content-based image retrieval systems. Intelligent Image Databases: Towards Advanced Image Retrieval describes the Advanced Region-Based Image Retrieval System (ARBIRS) developed by the authors for color images of real-world scenes. They have selected image regions for building ARBIRS as the literature survey suggests that prominent image regions, along with their associated features, provide a higher probability for achieving a higher level content-based image retrieval system. A major challenge in building a region-based image retrieval system is that prominent regions are rather difficult to capture in an accurate and error-free condition, particularly those in images of real-world scenes. To meet this challenge, the book proposes an integrated approach to tackle the problem via feature capturing, feature indexing, and database query. Through comprehensive system evaluation, it is demonstrated how these systematically integrated efforts work effectively to accomplish advanced image retrieval. Intelligent Image Databases: Towards Advanced Image Retrieval serves as an excellent reference and may be used as a text for advanced courses on the topic.
This eighteenth volume of the Evidence-based Clinical Chinese Medicine series aims to provide a multi-faceted 'whole evidence' analysis of the management of pain due to a range of cancers (cancer pain) using integrative Chinese medicine.Beginning with an overview of how cancer pain is conceptualised and managed in conventional medicine, the authors then summarise the differential diagnosis and managment of cancer pain in contemporary Chinese medicine based on clinical guidelines and contemporary books. The third chapter provides detailed analyses of how cancer pain and related disorders were treated with herbal medicine and acupuncture in past eras based on the classical Chinese medical literature.The subsequent chapters comprehensively review the current state of the clinical trial evidence for the integrative application of Chinese herbal medicines (Chapter 5), acupuncture (Chapter 7), other Chinese medicine therapies (Chapter 8) and combination Chinese medicine therapies (Chapter 9) in the management of cancer pain, as well as analyse and evaluate the results of these studies from an evidence-based medicine perspective. Chapter 6 reviews and summarises experimental evidence for the bioactivity of commonly used Chinese herbs and their constituent compounds. The outcomes of these analyses are summarised and discussed in Chapter 10 which alsoidentifies implications for the clinical practice of Chinese medicine and for future research.This book can inform clinicians and students in the fields of integrative medicine and Chinese medicine regarding contemporary practice and the current evidence base for a range of Chinese medicine therapies used in the management of cancer pain, including herbal formulas and acupuncture treatments, in order to assist clinicians in making evidence-based decisions in patient care. It also provides researchers with a comprehensive summary of the state of the field than can inform future.The following features mark the importance of this book in the field:
In 1931, Japan began a brutal occupation of Manchuria, and in 1937, China and Japan entered a full-scale war that ended with Japan’s defeat in 1945. The War of Resistance became the Chinese experience of the Second World War. Yet women scarcely get a mention in most accounts of the fourteen-year conflict. Through interviews, published reminiscences, and oral histories, Not Just a Man’s War uncovers the extraordinary stories of ordinary Chinese women during the war. Communist women speak of fighting as soldiers for “a good war” and contributing to the party’s rise to power. Nationalist women attribute their survival to the strength of the human spirit while acknowledging tremendous suffering. Women from the working poor and the middle classes describe the hardships of Japanese aggression and in their narratives refuse to be ignored as passive beings. In speaking up, the victims of sexual violence become survivor activists demanding justice. These women demonstrate a striking autonomy regardless of political association, socioeconomic status, or education. By attending to their insights, Not Just a Man’s War produces a multi-faceted, inclusive narrative of China’s War of Resistance.
This seventeenth volume of the Evidence-based Clinical Chinese Medicine series aims to provide a multi-faceted 'whole evidence' analysis of the management of Colorectal Cancer in integrative Chinese medicine.Beginning with overviews of how colorectal cancer is conceptualised and managed in both conventional medicine and contemporary Chinese medicine, the authors then provide detailed analyses of how colorectal cancer and related disorders were treated with herbal medicine and acupuncture in past eras.In the subsequent chapters, the authors comprehensively review the current state of the clinical trial evidence for Chinese herbal medicines (Chapter 5), acupuncture (Chapter 7), other Chinese medicine therapies (Chapter 8) and combination Chinese medicine therapies (Chapter 9) in the management of colorectal cancer, as well as analyse and evaluate the results of these studies from an evidence-based medicine perspective. Chapter 6 provides a review and a summary of the experimental evidence for the bioactivity of commonly used Chinese herbs. The outcomes of these analyses are summarised and discussed in Chapter 10 which identifies implications for the clinical practice of Chinese medicine and for future research.This book can inform clinicians and students in the fields of integrative medicine and Chinese medicine regarding contemporary practice and the current evidence-base for a range of Chinese medicine therapies used in the management of colorectal cancer, including herbal formulas and acupuncture treatments, in order to assist clinicians in making evidence-based decisions in patient care.The following features mark the importance of this book in the field:
In Tempered in the Revolutionary Furnace, Yihong Pan tells her personal story and the story of her generation of urban middle-school graduates sent to the countryside during China's Rustication Movement. Based on interviews, reminiscences, diaries, letters, and newspaper accounts, the work examines the varied, and often perplexing, experiences of the seventeen million Chinese students sent to work in the countryside between 1953 and 1980. Rich in human drama, Pan's book illustrates how life in the countryside transformed the children of Mao from innocent, ignorant, yet often passionate believers in the Communist Party into independent adults. Those same adults would go on to lead the nationwide protests in the winter of 1978-1979 that forced the government to abandon its policy of rustication. Richly textured, this work successfully blends biography with a wealth of historical insight to bring to life the trials of a generation, and to offer Chinese studies scholars a fascinating window into Mao Zedong's China. Book jacket.
This volume introduces machine learning techniques that are particularly powerful and effective for modeling multimedia data and common tasks of multimedia content analysis. It systematically covers key machine learning techniques in an intuitive fashion and demonstrates their applications through case studies. Coverage includes examples of unsupervised learning, generative models and discriminative models. In addition, the book examines Maximum Margin Markov (M3) networks, which strive to combine the advantages of both the graphical models and Support Vector Machines (SVM).
Intelligent Image Databases: Towards Advanced Image Retrieval addresses the image feature selection issue in developing content-based image retrieval systems. The book first discusses the four important issues in developing a complete content-based image retrieval system, and then demonstrates that image feature selection has significant impact on the remaining issues of system design. Next, it presents an in-depth literature survey on typical image features explored by contemporary content-based image retrieval systems for image matching and retrieval purposes. The goal of the survey is to determine the characteristics and the effectiveness of individual features, so as to establish guidelines for future development of content-based image retrieval systems. Intelligent Image Databases: Towards Advanced Image Retrieval describes the Advanced Region-Based Image Retrieval System (ARBIRS) developed by the authors for color images of real-world scenes. They have selected image regions for building ARBIRS as the literature survey suggests that prominent image regions, along with their associated features, provide a higher probability for achieving a higher level content-based image retrieval system. A major challenge in building a region-based image retrieval system is that prominent regions are rather difficult to capture in an accurate and error-free condition, particularly those in images of real-world scenes. To meet this challenge, the book proposes an integrated approach to tackle the problem via feature capturing, feature indexing, and database query. Through comprehensive system evaluation, it is demonstrated how these systematically integrated efforts work effectively to accomplish advanced image retrieval. Intelligent Image Databases: Towards Advanced Image Retrieval serves as an excellent reference and may be used as a text for advanced courses on the topic.
This will help us customize your experience to showcase the most relevant content to your age group
Please select from below
Login
Not registered?
Sign up
Already registered?
Success – Your message will goes here
We'd love to hear from you!
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.