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Proceedings of the SSEME Workshop on Social Sciences and Education (SSEME-SSE 2023).
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ISBN: 2384761161 Year: 2023 Publisher: Paris : Atlantis Press (Zeger Karssen),

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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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Visual Saliency Computation : A Machine Learning Perspective
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ISBN: 3319056417 3319056425 Year: 2014 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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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.


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Visual Saliency Computation : A Machine Learning Perspective
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ISBN: 9783319056425 Year: 2014 Publisher: Cham Springer International Publishing

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Abstract

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.


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Méthodes asymptotiques en mécanique de la rupture
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ISBN: 2746203669 Year: 2002 Publisher: Paris : Hermès science publications,

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Image segmentation and compression using hidden Markov models
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ISBN: 9780792378990 0792378997 Year: 2000 Publisher: Boston: Kluwer,

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Machine Learning and Statistical Modeling Approaches to Image Retrieval
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Year: 2004 Publisher: New York, NY : Springer US : Imprint: Springer,

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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.


Book
Dynamical modeling and analysis of epidemics
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ISBN: 1282441663 9786612441660 9812797505 9789812797506 9789812797490 9812797491 9781282441668 6612441666 Year: 2009 Publisher: Singapore Hackensack, NJ

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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.


Book
Machine Learning and Statistical Modeling Approaches to Image Retrieval
Authors: --- ---
ISBN: 1475779305 Year: 2004 Publisher: New York, NY : Springer US : Imprint: Springer,

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Abstract

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.


Book
Proceedings of the 2023 2nd International Conference on Public Culture and Social Services (PCSS 2023).
Authors: --- --- ---
ISBN: 2384761307 Year: 2023 Publisher: Paris : Atlantis Press (Zeger Karssen),

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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.


Book
Proceedings of the 2023 2nd International Conference on Public Service, Economic Management and Sustainable Development (PESD 2023).
Authors: --- --- --- ---
ISBN: 9464633441 Year: 2024 Publisher: Dordrecht : Atlantis Press (Zeger Karssen),

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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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