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Graphic Recognition Current Trends And Challenges


Graphic Recognition Current Trends And Challenges
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Graphics Recognition Current Trends And Challenges


Graphics Recognition Current Trends And Challenges
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Author : Bart Lamiroy
language : en
Publisher: Springer
Release Date : 2014-09-18

Graphics Recognition Current Trends And Challenges written by Bart Lamiroy and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-18 with Computers categories.


This book constitutes the thoroughly refereed post-conference proceedings of the 10th International Workshop on Graphics Recognition, GREC 2013, held in Bethlehem, PA, USA, in August 2013. The 20 revised full papers presented were carefully reviewed and selected from 32 initial submissions. Graphics recognition is a subfield of document image analysis that deals with graphical entities in engineering drawings, sketches, maps, architectural plans, musical scores, mathematical notation, tables, and diagrams. Accordingly the conference papers are organized in 5 topical sessions on symbol spotting and retrieval, graphics recognition in context, structural and perceptual based approaches, low level processing, and performance evaluation and ground truthing.



Graphic Recognition Current Trends And Challenges


Graphic Recognition Current Trends And Challenges
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Author : Bart Lamiroy
language : en
Publisher: Springer
Release Date : 2017-01-07

Graphic Recognition Current Trends And Challenges written by Bart Lamiroy and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-07 with Computers categories.


This book constitutes the thoroughly refereed post-conference proceedings of the 11th International Workshop on Graphics Recognition, GREC 2015, held in Nancy, France, in August 2015. The 10 revised full papers presented were carefully reviewed and selected from 19 initial submissions. They contain both classical and emerging topics of Graphics Recognition, namely symbol spotting; recognition in context; perceptual based approaches and grouping; low level processing; off-line to on-line and interactive systems; structure based approaches; performance evaluation and ground truthing; content based retrieval.



Bertrand Russell And The Nature Of Propositions


Bertrand Russell And The Nature Of Propositions
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Author : Samuel Lebens
language : en
Publisher: Routledge
Release Date : 2017-05-25

Bertrand Russell And The Nature Of Propositions written by Samuel Lebens and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-25 with Philosophy categories.


Bertrand Russell and the Nature of Propositions offers the first book-length defence of the Multiple Relation Theory of Judgement (MRTJ). Although the theory was much maligned by Wittgenstein and ultimately rejected by Russell himself, Lebens shows that it provides a rich and insightful way to understand the nature of propositional content. In Part I, Lebens charts the trajectory of Russell’s thought before he adopted the MRTJ. Part II reviews the historical story of the theory: What led Russell to deny the existence of propositions altogether? Why did the theory keep evolving throughout its short life? What role did G. F. Stout play in the evolution of the theory? What was Wittgenstein’s concern with the theory, and, if we can’t know what his concern was exactly, then what are the best contending hypotheses? And why did Russell give the theory up? In Part III, Lebens makes the case that Russell’s concerns with the theory weren’t worth its rejection. Moreover, he argues that the MRTJ does most of what we could want from an account of propositions at little philosophical cost. This book bridges the history of early analytic philosophy with work in contemporary philosophy of language. It advances a bold reading of the theory of descriptions and offers a new understanding of the role of Stout and the representation concern in the evolution of the MRTJ. It also makes a decisive contribution to philosophy of language by demonstrating the viability of a no-proposition theory of propositions.



Conceptualizing Digital Responsibility For The Information Age


Conceptualizing Digital Responsibility For The Information Age
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Author : Daniel Beverungen
language : en
Publisher: Springer Nature
Release Date : 2025-05-12

Conceptualizing Digital Responsibility For The Information Age written by Daniel Beverungen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-12 with Computers categories.


This book is the first volume of proceedings from the 18th International Conference on Wirtschaftsinformatik held in Paderborn, Germany, in 2023. In the context of the global trend toward digitalization, it presents the results of innovative, high-quality research in the field of information systems and digital transformation. The book covers a broad range of topics, including digital innovation, business analytics, artificial intelligence, and IT strategy, each of which has and will continue to have significant impacts on companies, individuals and societies alike.



Empirical Comics Research


Empirical Comics Research
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Author : Alexander Dunst
language : en
Publisher: Routledge
Release Date : 2018-07-03

Empirical Comics Research written by Alexander Dunst and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-03 with Comics & Graphic Novels categories.


This edited volume brings together work in the field of empirical comics research. Drawing on computer and cognitive science, psychology and art history, linguistics and literary studies, each chapter presents innovative methods and establishes the practical and theoretical motivations for the quantitative study of comics, manga, and graphic novels. Individual chapters focus on corpus studies, the potential of crowdsourcing for comics research, annotation and narrative analysis, cognitive processing and reception studies. This volume opens up new perspectives for the study of visual narrative, making it a key reference for anyone interested in the scientific study of art and literature as well as the digital humanities.



Intelligent Multimedia Data Analysis


Intelligent Multimedia Data Analysis
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Author : Siddhartha Bhattacharyya
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2019-02-19

Intelligent Multimedia Data Analysis written by Siddhartha Bhattacharyya and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-19 with Computers categories.


This volume comprises eight well-versed contributed chapters devoted to report the latest findings on the intelligent approaches to multimedia data analysis. Multimedia data is a combination of different discrete and continuous content forms like text, audio, images, videos, animations and interactional data. At least a single continuous media in the transmitted information generates multimedia information. Due to these different types of varieties, multimedia data present varied degrees of uncertainties and imprecision, which cannot be easy to deal by the conventional computing paradigm. Soft computing technologies are quite efficient to handle the imprecision and uncertainty of the multimedia data and they are flexible enough to process the real-world information. Proper analysis of multimedia data finds wide applications in medical diagnosis, video surveillance, text annotation etc. This volume is intended to be used as a reference by undergraduate and post graduate students of the disciplines of computer science, electronics and telecommunication, information science and electrical engineering. THE SERIES: FRONTIERS IN COMPUTATIONAL INTELLIGENCE The series Frontiers In Computational Intelligence is envisioned to provide comprehensive coverage and understanding of cutting edge research in computational intelligence. It intends to augment the scholarly discourse on all topics relating to the advances in artifi cial life and machine learning in the form of metaheuristics, approximate reasoning, and robotics. Latest research fi ndings are coupled with applications to varied domains of engineering and computer sciences. This field is steadily growing especially with the advent of novel machine learning algorithms being applied to different domains of engineering and technology. The series brings together leading researchers that intend to continue to advance the fi eld and create a broad knowledge about the most recent state of the art.



Proceedings Of The 2024 2nd International Conference On Image Algorithms And Artificial Intelligence Iciaai 2024


Proceedings Of The 2024 2nd International Conference On Image Algorithms And Artificial Intelligence Iciaai 2024
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Author : Yulin Wang
language : en
Publisher: Springer Nature
Release Date : 2024-10-12

Proceedings Of The 2024 2nd International Conference On Image Algorithms And Artificial Intelligence Iciaai 2024 written by Yulin Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-12 with Computers categories.


This is an Open Access book. 2024 2nd International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI2024) will be held in Singapore (Online Participation is acceptable) during August 9-11, 2024. ICIAAI aims to provide a good forum for scientists, researchers, engineers and industrial practitioners throughout the world to present and discuss the latest technology advancement as well as future directions and trends in image, algorithms and artificial intelligence . ​The scope of ICIAAI 2024 covers research areas such as imaging, algorithms and artificial intelligence. Related fields of research include computer software, programming languages, software engineering, computer science applications, artificial intelligence, Intelligent data analysis, deep learning, high-performance computing, signal processing, information systems, computer graphics, computer-aided design, Computer vision, etc.​ ​The objectives of the conference are:The conference aims to provide a platform for experts, scholars, engineers and technicians engaged in the research of image, algorithm and artificial intelligence to share scientific research results and cutting-edge technologies. It will be a perfect gathering to strengthen academic research and discussion, promote the development and progress of relevant research and application, and promote the development of disciplines and promote talent training.



Deep Learning Models For Medical Imaging


Deep Learning Models For Medical Imaging
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Author : KC Santosh
language : en
Publisher: Academic Press
Release Date : 2021-09-07

Deep Learning Models For Medical Imaging written by KC Santosh and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-07 with Computers categories.


Deep Learning Models for Medical Imaging explains the concepts of Deep Learning (DL) and its importance in medical imaging and/or healthcare using two different case studies: a) cytology image analysis and b) coronavirus (COVID-19) prediction, screening, and decision-making, using publicly available datasets in their respective experiments. Of many DL models, custom Convolutional Neural Network (CNN), ResNet, InceptionNet and DenseNet are used. The results follow 'with' and 'without' transfer learning (including different optimization solutions), in addition to the use of data augmentation and ensemble networks. DL models for medical imaging are suitable for a wide range of readers starting from early career research scholars, professors/scientists to industrialists. - Provides a step-by-step approach to develop deep learning models - Presents case studies showing end-to-end implementation (source codes: available upon request)



Document Image Analysis


Document Image Analysis
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Author : K.C. Santosh
language : en
Publisher: Springer
Release Date : 2018-09-18

Document Image Analysis written by K.C. Santosh and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-18 with Computers categories.


The book focuses on one of the key issues in document image processing – graphical symbol recognition, which is a sub-field of the larger research domain of pattern recognition. It covers several approaches: statistical, structural and syntactic, and discusses their merits and demerits considering the context. Through comprehensive experiments, it also explores whether these approaches can be combined. The book presents research problems, state-of-the-art methods that convey basic steps as well as prominent techniques, evaluation metrics and protocols, and research standpoints/directions that are associated with it. However, it is not limited to straightforward isolated graphics (visual patterns) recognition; it also addresses complex and composite graphical symbols recognition, which is motivated by real-world industrial problems.



Generative Ai Current Trends And Applications


Generative Ai Current Trends And Applications
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Author : Khalid Raza
language : en
Publisher: Springer Nature
Release Date : 2024-12-09

Generative Ai Current Trends And Applications written by Khalid Raza and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-09 with Computers categories.


This comprehensive volume focuses on the latest advancements in Generative AI, including state-of-the-art techniques and models that are pushing the boundaries of what is possible. It covers recent developments in areas such as Generative AI models, transfer learning and Natural Language Processing (NLP) highlighting their potential to revolutionize content generation and creative applications including OpenAI, LangChain, NLTK and their practical implementations across diverse domains. The volume provides insights into emerging research areas, novel architectures, and innovative approaches in Generative AI, giving searchers a glimpse into the exciting future of the field. The aim is to offer readers a deep understanding of Generative AI and how it can be harnessed to tackle complex real-world challenges.