Machine Learning Image Analysis (211 results)

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Taschenbuch. Condition: 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. Condition: 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. Condition: New. Dust Jacket Condition: no dj. First. Machine Learning for Medical Image Analysis Software presents a cutting-edge approach to medical image analysis, leveraging the power of machine learning to improve disease diagnosis, treatment planning, and patient monitoring. By applying machine learning techniques to medical images, researchers can create innovative solutions for image analysis, segmentation, and classification. This book explores the principles of machine learning and its applications in medical image analysis, including techniques for image processing, feature extraction, and model evaluation. 'Machine Learning for Medical Image Analysis Software' is an essential resource for anyone seeking to harness the power of machine learning in medical imaging. 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. Condition: New. Dust Jacket Condition: no dj. First. This book explores the exciting frontier of quantum machine learning, where researchers are applying the principles of quantum mechanics to develop more accurate and robust models of complex systems. By leveraging the power of quantum computing and machine learning, this book demonstrates the potential for quantum-inspired models to revolutionize the field of hyperspectral image analysis, enabling more effective classification, segmentation, and feature extraction. With a focus on the latest advancements in quantum machine learning and hyperspectral imaging, this comprehensive resource provides a thorough understanding of the theoretical foundations and practical applications of this emerging field. 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. Condition: New. Dust Jacket Condition: no dj. First. Medical Image Analysis with Deep Learning and Machine Learning Algorithms is a cutting-edge guide to harnessing the potential of deep learning and machine learning in medical image analysis. This book explores the application of advanced algorithms and techniques to improve image segmentation, detection, and classification. By providing a detailed understanding of the underlying methodologies and case studies, Medical Image Analysis with Deep Learning and Machine Learning Algorithms equips readers with the knowledge to develop innovative solutions for medical image analysis challenges. With a focus on practical implementation, this book serves as a valuable resource for researchers and clinicians seeking to harness the potential of deep learning and 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. Condition: New. Dust Jacket Condition: no dj. First. This book provides a detailed exploration of machine learning techniques for image and video analysis in medical imaging. It covers the application of deep learning algorithms in medical image analysis, including image segmentation, object detection, and image classification. The book also discusses the use of transfer learning and fine-tuning techniques to adapt pre-trained models to specific medical imaging tasks. Additionally, it explores the challenges and limitations of applying machine learning to medical imaging, including data quality, bias, and regulatory frameworks. 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. Condition: New. Dust Jacket Condition: 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.

Softcover. Condition: New. Dust Jacket Condition: 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. Condition: New. Dust Jacket Condition: no dj. First. Medical Imaging Analysis with Image Processing and Machine Learning is a comprehensive exploration of the latest advances in medical imaging analysis, including image processing and machine learning techniques. This book provides a detailed overview of the latest algorithms, methods, and tools for analyzing medical images, from MRI and CT scans to ultrasound and other modalities. By examining the role of machine learning in medical imaging, it equips researchers and clinicians with the knowledge to develop new image analysis techniques and improve diagnostic accuracy. 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. Condition: New. Dust Jacket Condition: no dj. First. This book provides a comprehensive guide to using Java for machine learning and image processing, highlighting its applications in computer vision, pattern recognition, and data analysis. The author presents a clear and concise overview of the key principles and practices of machine learning, including the use of supervised and unsupervised learning, neural networks, and deep learning. The book then explores the specific challenges and opportunities that arise when Java is used for image processing and analysis, highlighting the need for greater accuracy, efficiency, and scalability. Through a series of practical examples and case studies, the book demonstrates how Java can be used to develop more effective and efficient machine learning models, while also improving image processing and analysis capabilities. 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. Condition: New. Dust Jacket Condition: 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. Condition: New. Dust Jacket Condition: no dj. First. Medical imaging has revolutionized the field of healthcare, enabling medical professionals to diagnose and treat complex conditions with unprecedented accuracy. 'Machine Learning in Medical Image Analysis' is a cutting-edge guide that explores the latest advances in machine learning and medical imaging, revealing the potential of deep learning algorithms to improve diagnostic accuracy and patient outcomes. By applying advanced machine learning techniques and imaging analysis, this book provides a comprehensive framework for extracting valuable insights from medical images, identifying potential health risks, and developing personalized treatment plans. With its focus on machine learning and medical imaging, this book is an essential resource for medical professionals seeking to enhance their diagnostic skills and improve patient outcomes. 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. Condition: New. Dust Jacket Condition: 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. Condition: New. Dust Jacket Condition: 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.