machine learning image analysis (219 resultados)

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Taschenbuch. Condición: Neu. Neuware -This second edition focuses on audio, image and video data, the three main types of input that machines deal with when interacting with the real world. A set of appendices provides the reader with self-contained introductions to the mathematical background necessary to read the book.Divided into three main parts, From Perception to Computation introduces methodologies aimed at representing the data in forms suitable for computer processing, especially when it comes to audio and images. Whilst the second part, Machine Learning includes an extensive overview of statistical techniques aimed at addressing three main problems, namely classification (automatically assigning a data sample to one of the classes belonging to a predefined set), clustering (automatically grouping data samples according to the similarity of their properties) and sequence analysis (automatically mapping a sequence of observations into a sequence of human-understandable symbols). The third partApplications shows how the abstract problems defined in the second part underlie technologies capable to perform complex tasks such as the recognition of hand gestures or the transcription of handwritten data.Machine Learning for Audio, Image and Video Analysis is suitable for students to acquire a solid background in machine learning as well as for practitioners to deepen their knowledge of the state-of-the-art. All application chapters are based on publicly available data and free software packages, thus allowing readers to replicate the experiments.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 580 pp. Englisch.

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paperback. Condición: New. Language:Chinese.Paperback. Pub Date: 2025-01 Pages: 408 Publisher: China Machine Press Image processing is a rapidly developing discipline that covers a wide range of content. This book strives to cover the basic knowledge and important branches of image processing as much as possible within a limited space. This book is divided into 4 parts: Part 1 (~6 chapters) introduces the basic knowledge of image processing; Part 2 (Chapters 7-10) introduces important branches of image processing such .

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Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. Machine Learning for Biomedical Image Quality Analysis presents a cutting-edge exploration of the applications of machine learning in biomedical image quality analysis. By leveraging the power of machine learning and data analytics, this book examines the potential for machine learning to improve the accuracy and efficiency of biomedical image quality analysis. From image analysis to diagnosis, Machine Learning for Biomedical Image Quality Analysis provides a detailed examination of the current state-of-the-art and the future directions of machine learning in biomedical image quality analysis. By exploring the complex relationships between machine learning, biomedical image quality analysis, and medicine, this book offers a fresh perspective on the possibilities of machine learning in biomedical research and practice. As the field continues to evolve, Machine Learning for Biomedical Image Quality Analysis serves as a crucial resource for researchers, clinicians, and students seeking to understand the latest advancements in machine learning-assisted biomedical image quality analysis. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. In the vast expanse of machine learning, image analysis serves as a critical component of discovery. Statistical Methods for Image Analysis in Machine Learning offers a cutting-edge exploration of the statistical techniques used to extract valuable insights from complex image data sets. This book provides a comprehensive overview of the key methods and algorithms used in image analysis, including clustering, regression, and decision trees. By mastering these statistical techniques, professionals can unlock the hidden patterns and relationships within their image data, driving informed decision-making and business growth. With its rigorous analysis and practical applications, this book is an indispensable resource for anyone working in machine learning. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. Machine Learning for Image and Video Analysis and Recognition provides a comprehensive introduction to the exciting field of machine learning for image and video analysis and recognition. By covering a wide range of topics, from image classification and object detection to video analysis and recognition, this book equips readers with the skills needed to develop intelligent systems that can interpret and understand visual data. With its focus on practical examples, real-world applications, and expert analysis, Machine Learning for Image and Video Analysis and Recognition is an indispensable resource for anyone seeking to unlock the full potential of machine learning in image and video analysis. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. Machine Learning for Medical Image Analysis Applications offers a comprehensive examination of the latest advancements in machine learning and their applications in medical image analysis. This book provides a thorough analysis of the complex interactions between machine learning algorithms, medical images, and clinical outcomes, highlighting the potential for improved diagnostic accuracy and enhanced patient care. By examining the theoretical foundations and practical applications of machine learning, readers will gain a deeper understanding of the intricacies of medical image analysis and its role in advancing medical research. With its focus on the latest research and innovations, this book is an essential resource for researchers, clinicians, and engineers seeking to stay at the forefront of machine learning and medical image analysis. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. Data Engineering for Advanced Computer Vision and Image Analysis and Machine Learning is a cutting-edge guide that bridges the gap between data engineering and computer vision, providing a comprehensive overview of the latest techniques and tools for building scalable and efficient data pipelines. This book explores the intersection of data engineering and computer vision, covering topics such as data preprocessing, feature extraction, and model training, as well as the use of distributed computing and cloud-based services. With a focus on real-world applications and case studies, this book is an essential resource for data engineers, computer vision researchers, and machine learning practitioners. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. Machine learning has revolutionized the field of image analysis, enabling computers to automatically identify and classify objects within images. This book provides a comprehensive guide to the latest machine learning techniques for image analysis, examining the ways in which these techniques can be used to improve image recognition, object detection, and image segmentation. By understanding the role of machine learning in image analysis, readers will gain a deeper appreciation for the potential applications of this technology. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. Medical image analysis has become an essential tool in the diagnosis and treatment of various diseases, enabling healthcare professionals to visualize the human body in unprecedented detail. This book provides a comprehensive introduction to medical image analysis with machine learning techniques, covering the fundamental principles, methodologies, and applications. By exploring the latest research and advancements in medical image analysis, readers will gain a deeper understanding of the potential benefits of improved diagnostic accuracy, reduced radiation exposure, and enhanced patient outcomes. Medical Image Analysis with Machine Learning Techniques also discusses the latest challenges and limitations of medical image analysis, including data quality, model interpretability, and regulatory compliance. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. Computational Models for Advanced Image and Video Analysis and Machine Learning presents a comprehensive overview of the latest techniques and algorithms for modeling and analyzing complex image and video data, focusing on their applications in machine learning and related fields. This book covers topics such as image formation, image processing, and machine learning-based approaches, as well as the use of computational models in fields such as computer vision, robotics, and biomedicine. With a strong emphasis on practical implementation and case studies, this book is an indispensable resource for researchers, engineers, and practitioners working in image and video analysis, machine learning, and related fields. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. Machine Learning for Image and Video Analysis in Surveillance Systems and Security provides a comprehensive guide to the application of machine learning in image and video analysis for surveillance systems and security. This book explores the latest techniques and tools for developing intelligent systems that can analyze images and videos, detect anomalies, and identify patterns. It discusses the potential of machine learning in areas such as object detection, facial recognition, and activity analysis. The book also examines the role of machine learning in surveillance systems, including the use of computer vision and deep learning. By mastering the concepts and techniques presented in this book, security professionals can develop more effective surveillance systems that can detect and respond to security threats in real-time. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. The intersection of image analysis and machine learning is a rapidly advancing field, and 'Image Analysis and Machine Learning' is a cutting-edge exploration of this intersection. By examining the ways in which machine learning algorithms can be used to analyze and interpret images, this book reveals the vast potential for improved diagnosis and treatment outcomes. From image segmentation and classification to disease detection and prediction, 'Image Analysis and Machine Learning' provides a comprehensive overview of the latest advancements in this field. Through a series of in-depth case studies and analyses, readers will gain a deeper understanding of the ways in which machine learning can be used to enhance image analysis and improve patient care. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. Medical Image Analysis with Machine Learning and Signal Processing presents a comprehensive guide to the application of machine learning and signal processing techniques in medical image analysis. The author examines the potential of machine learning and signal processing in improving the accuracy and efficiency of medical image analysis, and presents a range of techniques and methods for analyzing medical images, including convolutional neural networks, transfer learning, and wavelet transforms. By applying machine learning and signal processing techniques to medical images, this book shows how to identify patterns and features that are not visible to the human eye, and presents a range of applications in medical imaging, including disease diagnosis, image segmentation, and image registration. With its focus on practical applications and real-world examples, this book is an essential resource for medical professionals, researchers, and students seeking to stay at the forefront of medical imaging technology. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. Data Engineering for Advanced Computer Vision and Image Analysis and Machine Learning and Energy is a visionary work that explores the intersection of data engineering, computer vision, and machine learning. By leveraging cutting-edge techniques and algorithms, this book equips readers with the knowledge to design and implement data engineering pipelines for advanced computer vision and image analysis applications. From data preprocessing to model deployment, the book provides a thorough examination of the key concepts and methodologies. Through a combination of theoretical foundations and practical examples, readers will gain a deep understanding of how to harness the power of data engineering to unlock new insights in energy research. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.