Pattern recognition

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.

Biometrics are used in many situations of our daily lives, but we still don't fully understand the way they work and what potential lies behind them.

Presents recently developed algorithms for searching for simple, multiple and extended strings, regular expressions, exact and approximate matches.

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation.

A timely convergence of two widely used disciplines Random Graphs for Statistical Pattern Recognition is the first book to address the topic of random graphs as it applies to statistical pattern recognition.

Speech coding is a highly mature branch of signal processing deployed in products such as cellular phones, communication devices, and more recently, voice over internet protocol This book collects many of the techniques used in speech coding and presents them in an accessible fashion Emphasizes the foundation and evolution of standardized speech coders, covering standards from 1984 to the present The theory behind the applications is thoroughly analyzed and proved

"e;This is the best book on patterns since the Gang of Four's Design Patterns.

With the advent of the internet as a medium for performing business transactions, the need for a secure communication channel has never been more paramount.

Moments as projections of an image s intensity onto a proper polynomial basis can be applied to many different aspects of image processing.

Edited by a panel of experts, this book fills a gap in the existing literature by comprehensively covering system, processing, and application aspects of biometrics, based on a wide variety of biometric traits.

"e;Much of pattern recognition theory and practice, including methods such as Support Vector Machines, has emerged in an attempt to solve the character recognition problem.

This book will be a valuable reference for researchers in the eare of nonparametrics.

An emerging technology, Speaker Recognition is becoming well-known for providing voice authentication over the telephone for helpdesks, call centres and other enterprise businesses for business process automation.

Biometric  System and Data Analysis: Design, Evaluation, and Data Mining brings together aspects of statistics and machine learning to provide a comprehensive guide to evaluate, interpret and understand biometric data.

Biometric recognition, or simply biometrics, is the science of establishing the identity of a person based on physical or behavioral attributes.

Every mathematical discipline goes through three periods of development: the naive, the formal, and the critical.

Introduction to Computational Cardiology provides a comprehensive, in-depth treatment of the fundamental concepts and research challenges involved in the mathematical modeling and computer simulation of dynamical processes in the heart, under normal and pathological conditions.

It's hard to believe that it's been over a decade since One Jump Ahead: Challenging Human Supremacy at Checkers was published.

Multimodal Processing and Interaction: Audio, Video and Text presents high quality, state-of-the-art research ideas and results from theoretic, algorithmic and application viewpoints.

The recent development of intelligent surveillance systems has captured the interest of both academic research labs and industry.

Remarkable advances in computation and data storage and the ready availability of huge data sets have been the keys to the growth of the new disciplines of data mining and machine learning, while the enormous success of the Human Genome Project has opened up the field of bioinformatics.

st The world of the 21 century is, more than ever, global and impersonal.

Sir Francis Crick would undoubtedly be at the front of the line ordering this fascinating book.

Studying Human Populations is a textbook for graduate students and research workers in social statistics and related subject areas.

This book provides balanced coverage of the existing results on sequence data mining as well as pattern types and associated pattern mining methods.

Data mining is the science and technology of exploring large and complex bodies of data in order to discover useful patterns.

Biometrics is becoming increasingly common in establishments that require high security such as state security and financial sectors.