by D. Reidel, Sold and distributed in the U.S.A. and Canada by Kluwer Boston in Dordrecht, Holland, Boston, Hingham, MA .
Written in English
|Statement||edited by J. Kittler, K.S. Fu, and L.F. Pau.|
|Series||NATO advanced study institutes series., v. 81|
|Contributions||Kittler, Josef, 1946-, Fu, K. S. 1930-, Pau, L.-F. 1948-, North Atlantic Treaty Organization. Scientific Affairs Division.|
|LC Classifications||Q327 .N2 1981|
|The Physical Object|
|Pagination||ix, 576 p. :|
|Number of Pages||576|
|LC Control Number||81023452|
28 rows Pattern Recognition Techniques, Technology and Applications. Edited by: Peng Cited by: The NATO Advanced Study Institute From Statistics to Neural Networks, Theory and Pattern Recognition Applications took place in Les Arcs, Bourg Saint Maurice, France, from June 21 through July 2, The meeting brought to gether over participants (including 19 invited lecturers) from Markov Models for Pattern Recognition From Theory to Applications. Authors and presents the techniques and algorithmic solutions essential to creating real world applications. The actual use of Markov models in their three main application areas - namely speech recognition, handwriting recognition, and biological sequence analysis - is. Pattern Recognition is a novel by science fiction writer William Gibson published in Set in August and September , the story follows Cayce Pollard, a year-old marketing consultant who has a psychological sensitivity to corporate action takes place in London, Tokyo, and Moscow as Cayce judges the effectiveness of a proposed corporate symbol and is Author: William Gibson.
NATO Advanced Study Institute on Pattern Recognition Theory and Applications ( Spa, Belgium). Pattern recognition theory and applications. Berlin ; New York: Springer-Verlag, © (OCoLC) Material Type: Conference publication: Document Type: Book: All Authors / . Theory of Cognitive Pattern Recognition, Pattern Recognition Techniques, Technology and Applications, Peng-Yeng Yin, IntechOpen, DOI: / Available from: Youguo Pi, Wenzhi Liao, Mingyou Liu and Jianping Lu (November 1st ).Cited by: Pattern recognition Pattern recognition is one of the fundamental core problems in the field of cognitive psychology. Pattern recognition is the fundamental human cognition or intelligence, which stands heavily in various human activities. Tightly linking with such psychological processes as sense, memory, study, and thinking, pattern. Pattern Recognition is a mature but exciting and fast developing field, which underpins developments in cognate fields such as computer vision, image processing, text and document analysis and neural networks. It is closely akin to machine learning, and also finds applications in fast emerging areas such as biometrics, bioinformatics.
The advent of computers increased the demand for practical applications of pattern recognition, which in turn set new demands for further theoretical developments. Machine vision is an area in which pattern recognition is of importance. It also focuses on Optical character recognition (OCR) systems that are commercially available. Feature extraction and selection in pattern recognition are based on finding mathematical methods for reducing dimensionality of pattern representation. A lower-dimensional representation based on pattern descriptors is a so-called feature. It plays a crucial role in determining the separating properties of pattern classes. This book is the outcome of a NATO Advanced Study Institute on Pattern Recog nition Theory and Applications held in Spa-Balmoral, Belgium, in June This Institute was the third of a series which started in in Bandol, France, at the initia tive of Professors K. S. Fu and A. Whinston, and continued in in Oxford, UK, with Price: $ Pattern Recognition is concerned with the classification of objects into categories, especially by machine. Over the past 20 to 25 years, pattern recognition has become an important part of image processing applications. This book is a complete introduction to pattern recognition that introduces it's increasing role in image processing/5(2).