Pattern recognition

The last decade has witnessed a rapid surge of interest in new sensing and monitoring devices for wellbeing and healthcare.

Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research.

Vladimir Geroimenko and Chaomei Chen The Semantic Web is avision that has sparked a wide-ranging enthusiasm for a new generation of the Web.

This book provides a broad yet detailed introduction to neural networks and machine learning in a statistical framework.

Speech and language technologies continue to grow in importance as they are used to create natural and efficient interfaces between people and machines, and to automatically transcribe, extract, analyze, and route information from high-volume streams of spoken and written information.

Recent decades have seen rapid advances in automatization processes, supported by modern machines and computers.

This book provides a theoretical foundation for the analysis of discrete data such as count and binary data in the longitudinal setup.

This book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics.

"e;This book guides you in the journey of 3D modeling from the theory with elegant mathematics to applications with beautiful 3D model pictures.

The new computing environment enabled by advances in service oriented arc- tectures, mashups, and cloud computing will consist of service spaces comprising data, applications, infrastructure resources distributed over the Web.

Driven by counter-terrorism efforts, marketing analysis and an explosion in online social networking in recent years, data mining has moved to the forefront of information science.

The book covers the most crucial parts of real-time hyperspectral image processing: causality and real-time capability.

Multi-Modal User Interactions in Controlled Environments investigates the capture and analysis of user's multimodal behavior (mainly eye gaze, eye fixation, eye blink and body movements) within a real controlled environment (controlled-supermarket, personal environment) in order to adapt the response of the computer/environment to the user.

The human face is perhaps the most familiar and easily recognized object in the world, yet both its three-dimensional shape and its two-dimensional images are complex and hard to characterize.

Statistical Data Mining Using SAS Applications, Second Edition describes statistical data mining concepts and demonstrates the features of user-friendly data mining SAS tools.

In contrast to classical image analysis methods that employ "e;crisp"e; mathematics, fuzzy set techniques provide an elegant foundation and a set of rich methodologies for diverse image-processing tasks.

In the development of digital multimedia, the importance and impact of image processing and mathematical morphology are well documented in areas ranging from automated vision detection and inspection to object recognition, image analysis and pattern recognition.

Clearly, nature has been very effective in creating organisms that are capable of protecting themselves against a wide variety of pathogens such as bacteria, fungi, and parasites.

Deterministic Learning Theory for Identification, Recognition, and Control presents a unified conceptual framework for knowledge acquisition, representation, and knowledge utilization in uncertain dynamic environments.

With countless electric motors being used in daily life, in everything from transportation and medical treatment to military operation and communication, unexpected failures can lead to the loss of valuable human life or a costly standstill in industry.

The chapters in this volume were presented at the July-August 2008 NATO Advanced Study Institute on Unexploded Ordnance Detection and Mitigation.

David Stevens Space-based information, which includes earth observation data, is increasingly becoming an integral part of our lives.

The past decades have seen significant improvements in 3D imaging where the related techniques and technologies have advanced to a mature state.

Design of water control structures, reservoir management, economic evaluation of flood protection projects, land use planning and management, flood insurance assessment, and other projects rely on knowledge of magnitude and frequency of floods.

Currently, there is a considerable interest in integrating the results of information extraction in retrieval systems, because of the growing demand for search engines that return precise answers to flexible information queries.

The chapters in this volume were presented at the July 2005NATO Advanced Study Institute on Advances in Sensing with Security App- cations.

In the development of digital multimedia, the importance and impact of image processing and mathematical morphology are well documented in areas ranging from automated vision detection and inspection to object recognition, image analysis and pattern recognition.

In contrast to classical image analysis methods that employ "e;crisp"e; mathematics, fuzzy set techniques provide an elegant foundation and a set of rich methodologies for diverse image-processing tasks.

Deterministic Learning Theory for Identification, Recognition, and Control presents a unified conceptual framework for knowledge acquisition, representation, and knowledge utilization in uncertain dynamic environments.

With countless electric motors being used in daily life, in everything from transportation and medical treatment to military operation and communication, unexpected failures can lead to the loss of valuable human life or a costly standstill in industry.

This book describes the methods and algorithms for image pre-processing and recognition.

This book describes the methods and algorithms for image pre-processing and recognition.

The Beauty of Mathematics in Computer Science explains the mathematical fundamentals of information technology products and services we use every day, from Google Web Search to GPS Navigation, and from speech recognition to CDMA mobile services.

The Beauty of Mathematics in Computer Science explains the mathematical fundamentals of information technology products and services we use every day, from Google Web Search to GPS Navigation, and from speech recognition to CDMA mobile services.

This volume, based on the 1977 NSF Residential Advanced Particle Morphology Workshop, covers the principle developments in this new and rapidly evolving field.

This volume, based on the 1977 NSF Residential Advanced Particle Morphology Workshop, covers the principle developments in this new and rapidly evolving field.

How can computers recognize faces?

How can computers recognize faces?

Automatic biometrics recognition techniques are increasingly important in corporate and public security systems and have increased in methods due to rapid field development.

Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.

Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.

Digital twin, blackchain, and wireless sensor networks can work together to improve services in the smart city.

This book contains papers presented at the 3rd International Conference on Cognitive- based Information Processing and Applications (CIPA) in Changzhou, China, from November 2--3, 2023.

Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions.

Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions.

Stereoscopic processes are increasingly used in virtual reality and entertainment.

Stereoscopic processes are increasingly used in virtual reality and entertainment.

A new approach to the issue of data quality in pattern recognition Detailing foundational concepts before introducing more complex methodologies and algorithms, this book is a self-contained manual for advanced data analysis and data mining.

A new approach to the issue of data quality in pattern recognition Detailing foundational concepts before introducing more complex methodologies and algorithms, this book is a self-contained manual for advanced data analysis and data mining.