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This book is a collection of proceedings from the SSEME Workshop on Social Sciences and Education held in 2023. It features academic research and discussions on a wide range of topics within social sciences, education, and humanities. The conference aimed to promote interdisciplinary academic exchange and address both theoretical and practical challenges in the field. Contributions include studies on foreign language education, poverty rates, e-learning quality, financial management, and innovations in teaching. The book is intended for academics, researchers, and professionals in social sciences and education, providing a platform for sharing insights and advancing knowledge in these areas.
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This book covers fundamental principles and computational approaches relevant to visual saliency computation. As an interdisciplinary problem, visual saliency computation is introduced in this book from an innovative perspective that combines both neurobiology and machine learning. The book is also well-structured to address a wide range of readers, from specialists in the field to general readers interested in computer science and cognitive psychology. With this book, a reader can start from the very basic question of "what is visual saliency?" and progressively explore the problems in detecting salient locations, extracting salient objects, learning prior knowledge, evaluating performance, and using saliency in real-world applications. It is highly expected that this book will spark a great interest of research in the related communities in years to come.
Machine learning --- Computer vision. --- Artificial intelligence. --- Data mining. --- Image Processing and Computer Vision. --- Artificial Intelligence. --- Data Mining and Knowledge Discovery. --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Optical data processing. --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment
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This book covers fundamental principles and computational approaches relevant to visual saliency computation. As an interdisciplinary problem, visual saliency computation is introduced in this book from an innovative perspective that combines both neurobiology and machine learning. The book is also well-structured to address a wide range of readers, from specialists in the field to general readers interested in computer science and cognitive psychology. With this book, a reader can start from the very basic question of "what is visual saliency?" and progressively explore the problems in detecting salient locations, extracting salient objects, learning prior knowledge, evaluating performance, and using saliency in real-world applications. It is highly expected that this book will spark a great interest of research in the related communities in years to come.
Computer science --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- computervisie --- beeldverwerking --- machine learning --- computers --- database management --- KI (kunstmatige intelligentie) --- computerkunde --- robots --- data acquisition --- AI (artificiële intelligentie)
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Mécanique --- Mecanique des systemes hamiltoniens --- Rupture --- Mecanique des systemes hamiltoniens --- Rupture
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In the early 1990s, the establishment of the Internet brought forth a revolutionary viewpoint of information storage, distribution, and processing: the World Wide Web is becoming an enormous and expanding distributed digital library. Along with the development of the Web, image indexing and retrieval have grown into research areas sharing a vision of intelligent agents. Far beyond Web searching, image indexing and retrieval can potentially be applied to many other areas, including biomedicine, space science, biometric identification, digital libraries, the military, education, commerce, culture and entertainment. Machine Learning and Statistical Modeling Approaches to Image Retrieval describes several approaches of integrating machine learning and statistical modeling into an image retrieval and indexing system that demonstrates promising results. The topics of this book reflect authors' experiences of machine learning and statistical modeling based image indexing and retrieval. This book contains detailed references for further reading and research in this field as well.
Lasers. --- Multimedia systems. --- Artificial intelligence. --- Electronic data processing --- Statistics. --- Computer vision. --- Laser. --- Multimedia Information Systems. --- Artificial Intelligence. --- IT Operations. --- Statistics. --- Computer Vision. --- Management.
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This timely book covers the basic concepts of the dynamics of epidemic disease, presenting various kinds of models as well as typical research methods and results. It introduces the latest results in the current literature, especially those obtained by highly rated Chinese scholars. A lot of attention is paid to the qualitative analysis of models, the sheer variety of models, and the frontiers of mathematical epidemiology. The process and key steps in epidemiological modeling and prediction are highlighted, using transmission models of HIV/AIDS, SARS, and tuberculosis as application examples.
Epidemiology --- Medical. --- Mathematical models.
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In the early 1990s, the establishment of the Internet brought forth a revolutionary viewpoint of information storage, distribution, and processing: the World Wide Web is becoming an enormous and expanding distributed digital library. Along with the development of the Web, image indexing and retrieval have grown into research areas sharing a vision of intelligent agents. Far beyond Web searching, image indexing and retrieval can potentially be applied to many other areas, including biomedicine, space science, biometric identification, digital libraries, the military, education, commerce, culture and entertainment. Machine Learning and Statistical Modeling Approaches to Image Retrieval describes several approaches of integrating machine learning and statistical modeling into an image retrieval and indexing system that demonstrates promising results. The topics of this book reflect authors' experiences of machine learning and statistical modeling based image indexing and retrieval. This book contains detailed references for further reading and research in this field as well.
Lasers. --- Multimedia systems. --- Artificial intelligence. --- Electronic data processing --- Statistics. --- Computer vision. --- Laser. --- Multimedia Information Systems. --- Artificial Intelligence. --- IT Operations. --- Computer Vision. --- Management.
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This volume presents the proceedings of the 2023 2nd International Conference on Public Culture and Social Services (PCSS 2023), held virtually from August 11 to 13, 2023. It aims to foster scientific cooperation and knowledge exchange among researchers and practitioners in fields such as public culture, social services, and creative industries. The conference featured keynote speeches, oral presentations, and academic discussions, exploring topics like cultural development, aesthetic principles, urban planning, and the impact of digital technologies on artistic practices. The proceedings include peer-reviewed papers that contribute to the body of knowledge on social sciences, education, and humanities research.
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This book is the proceedings of the 2023 2nd International Conference on Public Service, Economic Management, and Sustainable Development (PESD 2023) held virtually in Xiamen, China. It compiles research and presentations on various topics including economic management, sustainable development, digitizing public safety, innovation management, finance, investment, and the information economy. With contributions from over 100 delegates worldwide, the book highlights key discussions such as ecological economy, low-carbon strategies, smart cities, social ecosystems, and human development. Intended for academics and professionals in economics and management, the volume provides insights into current theories and methods in these fields, emphasizing sustainability and innovation.
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