From engineering to statistics, from computer science to the social sciences, 'Statistical Pattern Recognition' shows how closely these fields are related in terms of application. Areas such as database design, artificial neural networks and decision support are common to all. The author also examines the more diverse theoretical topics available to the practitioner or researcher, such as outlier detection and model selection, and concludes each section with a description of the wider range of practical applications and the future developments of theoretical techniques.Providing an introduction to statistical pattern theory and techniques that draws on material from a wide range of fields, 'Statistical Pattern Recognition' is a must for all technical professionals wanting to get up to speed on the recent advances in this dymanic subject area.
This book is appropriate as a text for introductory courses in pattern recognition and as a reference book for workers in the field. Each chapter contains computer projects as well as exercises.
Pattern Recognition: A Statistical Approach
The main scientificcontribution of this book is the unification of two main streams inpattern recognition - the statistical one and the structuralone.
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.
PATTERN CLASSIFICATION a unified view of statistical and neural approaches The product of years of research and practical experience in pattern classification, this book offers a theory-based engineering...
This book constitutes the refereed proceedings of the 12th International Workshop on Structural and Syntactic Pattern Recognition, SSPR 2008 and the 7th International Workshop on Statistical Techniques in Pattern Recognition, SPR 2008, held ...
This book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2018, held in Beijing, China, in August 2018.
Phenomena like these are very familiar to researchers in statistical pattern recognition (SPR), where the curse of dimensionality is a well-known dilemma.
This is the proceedings of the 11th International Workshop on Structural and Syntactic Pattern Recognition, SSPR 2006 and the 6th International Workshop on Statistical Techniques in Pattern Recognition, SPR 2006, held in Hong Kong, August ...
With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.