Grzegorzek marcin (46 risultati)
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paperback. Condizione: New. 1st.
Lingua: Inglese
Editore: Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, DE, 2011
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Paperback. Condizione: New. 2011th. This book constitutes the revised selected papers of the 5th International Conference on Semantics and Digital Media Technologies, SAMT 2010, held in Saarbrücken, Germany, in December 2010. As a result of a highly selective review procedure, 12 full papers and 4 short papers were accepted for…publication. The contributions present novel approaches for managing, distributing and accessing large amounts of multimedia material. The topics covered include semantic search, analysis and retrieval of images, audio, video, 3D/4D material as well as of computer generated multimedia content. Also addressed are issues relating to semantic metadata management, semantic user interfaces, and semantics in visualization and computer graphics.
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Paperback. Condizione: new. Paperback. Within the scope of this dissertation a system for appearance-based statistical classification and localization of 3-D objects in 2-D digital images is presented. The first three chapters define the object recognition task, present the mathematical background of the system, and discuss the…known approaches for object recognition. Then the learning phase of the system is described. The training begins with the image acquisition, which can be done with a hand-held camera. The object poses required for the further object modeling are computed from the training image sequence with the structure-from-motion algorithm. In contrast to shape-based approaches, appearance-based methods do not use any segmentation steps to extract object features. The objects are described by 2-D local feature vectors computed directly from image pixel values using the wavelet transform. Both gray level and color images can be used for feature extraction. Finally, the object features are statistically modeled with the normal distribution and stored in the object models as density functions. Additionally, context modeling is also performed in the training phase.In the recognition phase the system classifies and localizes objects in scenes with real heterogeneous background, whereas the number of objects in a scene is unknown. First, feature vectors are calculated in the scene with the same method as in the training. Second, a maximization algorithm evaluates the learned density functions with the extracted feature vectors and yields classes and poses of objects found in the scene. Experiments made on a real data set with more than 40000 images compare the classification and localization rates for all algorithms discussed in the dissertation and show a very good performance of the system in a real world environment. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Hardcover. Condizione: new. Hardcover. Artificial intelligence is no longer just a tool for automation; it is becoming the operating system of modern organizations. AI and Resilient Organizations explores how agentic, data-centric AI can enhance human creativity, ethics, and adaptability while building organizational resilience.…This interdisciplinary volume bridges technology, governance, and human-centered design, offering actionable insights for navigating the complexities of Industry 5.0 and beyond. It combines real-world case studies with rigorous research to demonstrate how conversational artificial intelligence (AI), Large Language Model (LLM)- powered data agents, and circular business models are transforming sectors like education, startups and enterprise. It situates these developments within the European regulatory framework, including the AI Act, GDPR, and Digital Markets Act, showing how trust-based innovation can drive global competitiveness. Readers will gain practical guidance on managing digital sovereignty, operationalizing ethics-by-design, and building AI-resilient organizations capable of thriving in complex, rapidly evolving environments. Methodologically diverse, it blends empirical surveys, design-science modeling, and applied machine-learning experiments, ensuring academic rigor and practical relevance.Designed for researchers, policymakers, leaders, and entrepreneurs seeking to move beyond AI hype and implement people-first strategies, this is an essential resource for postgraduate and executive programs in information systems, digital innovation, organizational strategy, and AI governance. Artificial intelligence is no longer just a tool for automation; it is becoming the operating system of modern organizations. AI and Resilient Organizations explores how agentic, data-centric AI can enhance human creativity, ethics, and adaptability while building organizational resilience. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Hardback. Condizione: New. Artificial intelligence is no longer just a tool for automation; it is becoming the operating system of modern organizations. AI and Resilient Organizations explores how agentic, data-centric AI can enhance human creativity, ethics, and adaptability while building organizational resilience.This interdi…sciplinary volume bridges technology, governance, and human-centered design, offering actionable insights for navigating the complexities of Industry 5.0 and beyond. It combines real-world case studies with rigorous research to demonstrate how conversational artificial intelligence (AI), Large Language Model (LLM)- powered data agents, and circular business models are transforming sectors like education, startups and enterprise. It situates these developments within the European regulatory framework, including the AI Act, GDPR, and Digital Markets Act, showing how trust-based innovation can drive global competitiveness. Readers will gain practical guidance on managing digital sovereignty, operationalizing ethics-by-design, and building AI-resilient organizations capable of thriving in complex, rapidly evolving environments. Methodologically diverse, it blends empirical surveys, design-science modeling, and applied machine-learning experiments, ensuring academic rigor and practical relevance.Designed for researchers, policymakers, leaders, and entrepreneurs seeking to move beyond AI hype and implement people-first strategies, this is an essential resource for postgraduate and executive programs in information systems, digital innovation, organizational strategy, and AI governance.
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Hardback. Condizione: New. Artificial intelligence is no longer just a tool for automation; it is becoming the operating system of modern organizations. AI and Resilient Organizations explores how agentic, data-centric AI can enhance human creativity, ethics, and adaptability while building organizational resilience.This interdi…sciplinary volume bridges technology, governance, and human-centered design, offering actionable insights for navigating the complexities of Industry 5.0 and beyond. It combines real-world case studies with rigorous research to demonstrate how conversational artificial intelligence (AI), Large Language Model (LLM)- powered data agents, and circular business models are transforming sectors like education, startups and enterprise. It situates these developments within the European regulatory framework, including the AI Act, GDPR, and Digital Markets Act, showing how trust-based innovation can drive global competitiveness. Readers will gain practical guidance on managing digital sovereignty, operationalizing ethics-by-design, and building AI-resilient organizations capable of thriving in complex, rapidly evolving environments. Methodologically diverse, it blends empirical surveys, design-science modeling, and applied machine-learning experiments, ensuring academic rigor and practical relevance.Designed for researchers, policymakers, leaders, and entrepreneurs seeking to move beyond AI hype and implement people-first strategies, this is an essential resource for postgraduate and executive programs in information systems, digital innovation, organizational strategy, and AI governance.
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Condizione: New. 2026. 1st Edition. hardcover. . . . . .
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Hardcover. Condizione: new. Hardcover. Artificial intelligence is no longer just a tool for automation; it is becoming the operating system of modern organizations. AI and Resilient Organizations explores how agentic, data-centric AI can enhance human creativity, ethics, and adaptability while building organizational resilience.…This interdisciplinary volume bridges technology, governance, and human-centered design, offering actionable insights for navigating the complexities of Industry 5.0 and beyond. It combines real-world case studies with rigorous research to demonstrate how conversational artificial intelligence (AI), Large Language Model (LLM)- powered data agents, and circular business models are transforming sectors like education, startups and enterprise. It situates these developments within the European regulatory framework, including the AI Act, GDPR, and Digital Markets Act, showing how trust-based innovation can drive global competitiveness. Readers will gain practical guidance on managing digital sovereignty, operationalizing ethics-by-design, and building AI-resilient organizations capable of thriving in complex, rapidly evolving environments. Methodologically diverse, it blends empirical surveys, design-science modeling, and applied machine-learning experiments, ensuring academic rigor and practical relevance.Designed for researchers, policymakers, leaders, and entrepreneurs seeking to move beyond AI hype and implement people-first strategies, this is an essential resource for postgraduate and executive programs in information systems, digital innovation, organizational strategy, and AI governance. Artificial intelligence is no longer just a tool for automation; it is becoming the operating system of modern organizations. AI and Resilient Organizations explores how agentic, data-centric AI can enhance human creativity, ethics, and adaptability while building organizational resilience. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Hardback. Condizione: New. Artificial intelligence is no longer just a tool for automation; it is becoming the operating system of modern organizations. AI and Resilient Organizations explores how agentic, data-centric AI can enhance human creativity, ethics, and adaptability while building organizational resilience.This interdi…sciplinary volume bridges technology, governance, and human-centered design, offering actionable insights for navigating the complexities of Industry 5.0 and beyond. It combines real-world case studies with rigorous research to demonstrate how conversational artificial intelligence (AI), Large Language Model (LLM)- powered data agents, and circular business models are transforming sectors like education, startups and enterprise. It situates these developments within the European regulatory framework, including the AI Act, GDPR, and Digital Markets Act, showing how trust-based innovation can drive global competitiveness. Readers will gain practical guidance on managing digital sovereignty, operationalizing ethics-by-design, and building AI-resilient organizations capable of thriving in complex, rapidly evolving environments. Methodologically diverse, it blends empirical surveys, design-science modeling, and applied machine-learning experiments, ensuring academic rigor and practical relevance.Designed for researchers, policymakers, leaders, and entrepreneurs seeking to move beyond AI hype and implement people-first strategies, this is an essential resource for postgraduate and executive programs in information systems, digital innovation, organizational strategy, and AI governance.
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Buch. Condizione: Neu. Neuware - Artificial intelligence is no longer just a tool for automation; it is becoming the operating system of modern organizations. AI and Resilient Organizations explores how agentic, data-centric AI can enhance human creativity, ethics, and adaptability while building organizational resilience.This i…nterdisciplinary volume bridges technology, governance, and human-centered design, offering actionable insights for navigating the complexities of Industry 5.0 and beyond. It combines real-world case studies with rigorous research to demonstrate how conversational artificial intelligence (AI), Large Language Model (LLM)- powered data agents, and circular business models are transforming sectors like education, startups and enterprise. It situates these developments within the European regulatory framework, including the AI Act, GDPR, and Digital Markets Act, showing how trust-based innovation can drive global competitiveness. Readers will gain practical guidance on managing digital sovereignty, operationalizing ethics-by-design, and building AI-resilient organizations capable of thriving in complex, rapidly evolving environments. Methodologically diverse, it blends empirical surveys, design-science modeling, and applied machine-learning experiments, ensuring academic rigor and practical relevance.Designed for researchers, policymakers, leaders, and entrepreneurs seeking to move beyond AI hype and implement people-first strategies, this is an essential resource for postgraduate and executive programs in information systems, digital innovation, organizational strategy, and AI governance.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Cameras for 3D depth imaging, using either time-of-flight (ToF) or structured light sensors, have received a lot of attention recently and have been improved considerably over the last few years. The present techniques make full-range 3D data avai…lable at video frame rates, and thus pave the way for a much broader application of 3D vision systems.A series of workshops have closely followed the developments within ToF imaging over the years. Today, depth imaging workshops can be found at every major computer vision conference. The papers presented in this volume stem from a seminar on Time-of-Flight Imaging held at Schloss Dagstuhl in October 2012. They cover all aspects of ToF depth imaging, from sensors and basic foundations, to algorithms for low level processing, to important applications that exploit depth imaging. In addition, this book contains the proceedings of a workshop on Imaging New Modalities, which was held at the German Conference on Pattern Recognition in Saarbrücken, Germany, in September 2013. A state-of-the-art report on the Kinect sensor and its applications is followed by two reports on local and global ToF motion compensation and a novel depth capture system using a plenoptic multi-lens multi-focus camera sensor.
