2023 IEEE 13th International Conference on Pattern Recognition Systems (ICPRS). PDF Download

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Languages : en
Pages : 0

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Author: Álvaro Rocha
Publisher: Springer Nature
ISBN: 3031602188
Category :
Languages : en
Pages : 293

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Author: Henrik I. Christensen
Publisher: Springer Nature
ISBN: 3031441370
Category : Computers
Languages : en
Pages : 466

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This volume LNCS 14253 constitutes the refereed proceedings of the 14th International Conference, ICVS 2023, in Vienna, Austria, in September 2023.. The 37 full papers presented were carefully reviewed and selected from 74 submissions. The conference focuses on Humans and Hands; Medical and Health Care; Farming and Forestry; Automation and Manufacturing; Mobile Robotics and Autonomous Systems; and Performance and Robustness.

Author: Antony Bhavna
Publisher: Springer Nature
ISBN: 3031731190
Category :
Languages : en
Pages : 178

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Author: Paul Harper
Publisher: Peter Lang
ISBN: 9783039110933
Category : Business & Economics
Languages : en
Pages : 284

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ORAHS, the Working Group on Operational Research Applied to Health Services, is a special-interest group of EURO (the European Association of OR Societies). ORAHS meets every year in a different host country. The objectives of the group include communication of ideas, knowledge and experience concerning the application of Operational Research approaches and methods to problems in the health services area; mutual support between members; and collaboration on joint projects. The 31st meeting of ORAHS was held in 2005 at the University of Southampton, UK. A total of forty-one scientific papers were presented, nineteen of which are contained in this volume. The application areas covered include resource allocation, performance measurement and disease modelling, from within Europe and beyond. The approaches used range from mathematical optimization, simulation and statistical modelling through to «soft» OR. These proceedings provide a broad perspective on current research in this area across Europe and beyond.

Author: Shaogang Gong
Publisher: Springer Science & Business Media
ISBN: 144716296X
Category : Computers
Languages : en
Pages : 446

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The first book of its kind dedicated to the challenge of person re-identification, this text provides an in-depth, multidisciplinary discussion of recent developments and state-of-the-art methods. Features: introduces examples of robust feature representations, reviews salient feature weighting and selection mechanisms and examines the benefits of semantic attributes; describes how to segregate meaningful body parts from background clutter; examines the use of 3D depth images and contextual constraints derived from the visual appearance of a group; reviews approaches to feature transfer function and distance metric learning and discusses potential solutions to issues of data scalability and identity inference; investigates the limitations of existing benchmark datasets, presents strategies for camera topology inference and describes techniques for improving post-rank search efficiency; explores the design rationale and implementation considerations of building a practical re-identification system.

Author: Martin Werner
Publisher: Springer Nature
ISBN: 3030554627
Category : Computers
Languages : en
Pages : 641

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This handbook covers a wide range of topics related to the collection, processing, analysis, and use of geospatial data in their various forms. This handbook provides an overview of how spatial computing technologies for big data can be organized and implemented to solve real-world problems. Diverse subdomains ranging from indoor mapping and navigation over trajectory computing to earth observation from space, are also present in this handbook. It combines fundamental contributions focusing on spatio-textual analysis, uncertain databases, and spatial statistics with application examples such as road network detection or colocation detection using GPUs. In summary, this handbook gives an essential introduction and overview of the rich field of spatial information science and big geospatial data. It introduces three different perspectives, which together define the field of big geospatial data: a societal, governmental, and governance perspective. It discusses questions of how the acquisition, distribution and exploitation of big geospatial data must be organized both on the scale of companies and countries. A second perspective is a theory-oriented set of contributions on arbitrary spatial data with contributions introducing into the exciting field of spatial statistics or into uncertain databases. A third perspective is taking a very practical perspective to big geospatial data, ranging from chapters that describe how big geospatial data infrastructures can be implemented and how specific applications can be implemented on top of big geospatial data. This would include for example, research in historic map data, road network extraction, damage estimation from remote sensing imagery, or the analysis of spatio-textual collections and social media. This multi-disciplinary approach makes the book unique. This handbook can be used as a reference for undergraduate students, graduate students and researchers focused on big geospatial data. Professionals can use this book, as well as practitioners facing big collections of geospatial data.

Author: Rogerio Schmidt Feris
Publisher: Springer
ISBN: 3319500775
Category : Computers
Languages : en
Pages : 362

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This unique text/reference provides a detailed overview of the latest advances in machine learning and computer vision related to visual attributes, highlighting how this emerging field intersects with other disciplines, such as computational linguistics and human-machine interaction. Topics and features: presents attribute-based methods for zero-shot classification, learning using privileged information, and methods for multi-task attribute learning; describes the concept of relative attributes, and examines the effectiveness of modeling relative attributes in image search applications; reviews state-of-the-art methods for estimation of human attributes, and describes their use in a range of different applications; discusses attempts to build a vocabulary of visual attributes; explores the connections between visual attributes and natural language; provides contributions from an international selection of world-renowned scientists, covering both theoretical aspects and practical applications.

Author: Aboul Ella Hassanien
Publisher: Springer Nature
ISBN: 3030763463
Category : Technology & Engineering
Languages : en
Pages : 857

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This book presents the 2nd International Conference on Artificial Intelligence and Computer Visions (AICV 2021) proceeding, which took place in Settat, Morocco, from June 28- to 30, 2021. AICV 2021 is organized by the Scientific Research Group in Egypt (SRGE) and the Computer, Networks, Mobility and Modeling Laboratory (IR2M), Hassan 1st University, Faculty of Sciences Techniques, Settat, Morocco. This international conference highlighted essential research and developments in the fields of artificial intelligence and computer visions. The book is divided into sections, covering the following topics: Deep Learning and Applications; Smart Grid, Internet of Things, and Mobil Applications; Machine Learning and Metaheuristics Optimization; Business Intelligence and Applications; Machine Vision, Robotics, and Speech Recognition; Advanced Machine Learning Technologies; Big Data, Digital Transformation, AI and Network Analysis; Cybersecurity; Feature Selection, Classification, and Applications.

Author: Robert Burduk
Publisher: Springer Nature
ISBN: 3031416309
Category : Technology & Engineering
Languages : en
Pages : 241

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This book presents a collection of high-quality research papers accepted to multi-conference consisting of the 13th International Conference on Image Processing and Communications (IP&C 2023), the 13th International Conference on Computer Recognition Systems (CORES 2023) held jointly in Wroclaw, Poland (virtually), in June 2023. The accepted papers address current computer science and computer systems-related technological challenges and solutions, as well as many practical applications and results. The first part of the book deals with advances in pattern recognition and classifiers, the second part is devoted to image processing and computer vision, while the third part addresses practical applications of computer recognition systems. We believe this book will be interesting for researchers and practitioners in many fields of computer science and IT applications.