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Download or read book Pattern Recognition and Image Processing in Physics written by Robin Antony Vaughan and published by CRC Press. This book was released on 1991 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Scottish Universities Summer School in Physics has been held every year since 1960. The purpose of the school is to contribute to the dissemination of advanced knowledge and the formation of contacts among scientists from different countries. The lecturers at the school are all international experts in their subject. Their brief is to present an up-to-date survey of current research in their own field in the form of a coherent series of lectures at a level suitable for students who are normally in their second or third postgraduate year. With more and more sophisticated computers and computer software proving itself invaluable with its advanced pattern recognition capabilities in such areas as defence and environmental and industrial control, this edited volume discusses various systems that have emerged in recent years and their potential and actual applications. Necessary computer architecture and software tools are explained. Image processing and analysis are discussed, paying particular attention to shape and motion analysis and image enhancement. Neural networks play a vital role and are discussed in some detail. Specific applications of this technology are concentrated on in the final section of this work, notably earth observations and geological study.
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Download or read book Radar 97 written by and published by Institution of Electrical Engineers. This book was released on 1997 with total page 934 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the 178 papers that were presented at the International Conference on RADAR in 1997.
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Download or read book Statistical Pattern Recognition written by Andrew R. Webb and published by John Wiley & Sons. This book was released on 2003-07-25 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical pattern recognition is a very active area of study andresearch, which has seen many advances in recent years. New andemerging applications - such as data mining, web searching,multimedia data retrieval, face recognition, and cursivehandwriting recognition - require robust and efficient patternrecognition techniques. Statistical decision making and estimationare regarded as fundamental to the study of pattern recognition. Statistical Pattern Recognition, Second Edition has been fullyupdated with new methods, applications and references. It providesa comprehensive introduction to this vibrant area - with materialdrawn from engineering, statistics, computer science and the socialsciences - and covers many application areas, such as databasedesign, artificial neural networks, and decision supportsystems. * Provides a self-contained introduction to statistical patternrecognition. * Each technique described is illustrated by real examples. * Covers Bayesian methods, neural networks, support vectormachines, and unsupervised classification. * Each section concludes with a description of the applicationsthat have been addressed and with further developments of thetheory. * Includes background material on dissimilarity, parameterestimation, data, linear algebra and probability. * Features a variety of exercises, from 'open-book' questions tomore lengthy projects. The book is aimed primarily at senior undergraduate and graduatestudents studying statistical pattern recognition, patternprocessing, neural networks, and data mining, in both statisticsand engineering departments. It is also an excellent source ofreference for technical professionals working in advancedinformation development environments. For further information on the techniques and applicationsdiscussed in this book please visit ahref="http://www.statistical-pattern-recognition.net/"www.statistical-pattern-recognition.net/a
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