Pattern recognition

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.

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.

A comprehensive overview of high-performance pattern recognition techniques and approaches to Computational Molecular Biology This book surveys the developments of techniques and approaches on pattern recognition related to Computational Molecular Biology.

A comprehensive overview of high-performance pattern recognition techniques and approaches to Computational Molecular Biology This book surveys the developments of techniques and approaches on pattern recognition related to Computational Molecular Biology.

This book is the first of its kind to discuss error estimation with a model-based approach.

This book is the first of its kind to discuss error estimation with a model-based approach.

A unified, coherent treatment of current classifier ensemble methods, from fundamentals of pattern recognition to ensemble feature selection, now in its second edition The art and science of combining pattern classifiers has flourished into a prolific discipline since the first edition of Combining Pattern Classifiers was published in 2004.

A unified, coherent treatment of current classifier ensemble methods, from fundamentals of pattern recognition to ensemble feature selection, now in its second edition The art and science of combining pattern classifiers has flourished into a prolific discipline since the first edition of Combining Pattern Classifiers was published in 2004.

The first edition, published in 1973, has become a classic reference in the field.

Learn how to apply rough-fuzzy computing techniques to solve problems in bioinformatics and medical image processing Emphasizing applications in bioinformatics and medical image processing, this text offers a clear framework that enables readers to take advantage of the latest rough-fuzzy computing techniques to build working pattern recognition models.

Learn how to apply rough-fuzzy computing techniques to solve problems in bioinformatics and medical image processing Emphasizing applications in bioinformatics and medical image processing, this text offers a clear framework that enables readers to take advantage of the latest rough-fuzzy computing techniques to build working pattern recognition models.

An accessible undergraduate introduction to the concepts and methods in pattern recognition, machine learning and deep learning.

Now in its third edition, this book focuses on practical algorithms for mining data from even the largest datasets.

Covers mathematical and algorithmic foundations of data science: machine learning, high-dimensional geometry, and analysis of large networks.

Covers mathematical and algorithmic foundations of data science: machine learning, high-dimensional geometry, and analysis of large networks.

First published in 1986: The presentation of the material in the book follows the flow of events of the general signal processing system.

First published in 1986: The presentation of the material in the book follows the flow of events of the general signal processing system.

This book focuses on seven commonly used image analysis techniques.

This book focuses on seven commonly used image analysis techniques.

Many governments around the world are calling for the use of biometric systems to provide crucial societal functions, consequently making it an urgent area for action.

Many governments around the world are calling for the use of biometric systems to provide crucial societal functions, consequently making it an urgent area for action.

Knowledge-Based Intelligent Techniques in Character Recognition presents research results on intelligent character recognition techniques, reflecting the tremendous worldwide interest in the applications of knowledge-based techniques in this challenging field.

Knowledge-Based Intelligent Techniques in Character Recognition presents research results on intelligent character recognition techniques, reflecting the tremendous worldwide interest in the applications of knowledge-based techniques in this challenging field.

Because the properties of objects are largely determined by their geometric features, shape analysis and classification are essential to almost every applied scientific and technological area.

Shapes have been among man's fascinations from thestoneage to thespace age.

Computational Knowledge Vision: The First Footprints presents a novel, advanced framework which combines structuralized knowledge and visual models.