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.

The addition of artificial neural network computing to traditional pattern recognition has given rise to a new, different, and more powerful methodology that is presented in this interesting book.

The idea for this book came from the time the authors spent at the Statistics and Applied Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina starting in fall 2003.

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.

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.

Most commonly-used parametric and permutation statistical tests, such as the matched-pairs t test and analysis of variance, are based on non-metric squared distance functions that have very poor robustness characteristics.

Biometrics is a rapidly evolving field with applications ranging from accessing one's computer to gaining entry into a country.

Clustered survival data are encountered in many scientific disciplines including human and veterinary medicine, biology, epidemiology, public health and demography.

Biometrics refers to automated methods of recognizing a person based on physiological or behavioral characteristics.

This is the second volume of a text on the theory and practice of maximum penalized likelihood estimation.

Anyone who has ever bought a car, rented an apartment, had a job or conversation that they would rather not see in their employee review may find this book of interest.

"e;The book is outstanding and admirable in many respects.

Methods of dimensionality reduction provide a way to understand and visualize the structure of complex data sets.

One of the challenges for computational intelligence and biometrics is to understand how people process and recognize faces and to develop automated and reliable face recognition systems.

"e;If you torture the data long enough, Nature will confess,"e; said 1991 Nobel-winning economist Ronald Coase.

All the data was out there to warn us of this impending attack, why didn't we see it?

The book to which I was asked by the editors to write a foreword is an interesting collection of contributions.

Signal Processing Methods for Music Transcription is the first book dedicated to uniting research related to signal processing algorithms and models for various aspects of music transcription such as pitch analysis, rhythm analysis, percussion transcription, source separation, instrument recognition, and music structure analysis.

Human Identification Based on Gait is the first book to address gait as a biometric.

Face recognition has been actively studied over the past decade and continues to be a big research challenge.

Neural networks are members of a class of software that have the potential to enable intelligent computational systems capable of simulating characteristics of biological thinking and learning.

Reliable human authentication schemes are of paramount importance in our highly networked society.

Vague concepts are intrinsic to human communication.

Multidimensionalscaling(MDS)isatechniquefortheanalysisofsimilarity or dissimilarity data on a set of objects.

This monograph is the outgrowth of Stefan Axelson's PhD Dissertation at Chalmers University in Goteborg, Sweden.

Biometric user authentication techniques evoke an enormous interest by science, industry and society.

200Ts Vision of Vision One of my formative childhood experiences was in 1968 stepping into the Uptown Theater on Connecticut Avenue in Washington, DC, one of the few movie theaters nationwide that projected in large-screen cinerama.

Many animators and designers would like to supplement their Maya learning with a less-technical, more helpful book.

Although the history of computer-aided face recognition stretches back to the 1960s, automatic face recognition remains an unsolved problem and still offers a great challenge to computer-vision and pattern recognition researchers.

The 2nd edition of this book adds 8 new contributors to reflect a modern cutting edge approach to genomics.