Pattern Recognition And Information Processing
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Author | : Sergey V. Ablameyko |
Publisher | : Springer Nature |
Total Pages | : 320 |
Release | : 2019-11-22 |
Genre | : Computers |
ISBN | : 303035430X |
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This book constitutes the refereed proceedings of the 14th International Conference on Pattern Recognition and Information Processing, PRIP 2019, held in Minsk, Belarus, in May 2019. The 25 revised full papers were carefully reviewed and selected from 120 submissions. The papers of this volume are organized in topical sections on pattern recognition and image analysis; information processing and applications.
Author | : |
Publisher | : |
Total Pages | : 511 |
Release | : 2005 |
Genre | : |
ISBN | : 9789856329558 |
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Author | : Mitra Basu |
Publisher | : Springer Science & Business Media |
Total Pages | : 309 |
Release | : 2006-12-22 |
Genre | : Computers |
ISBN | : 1846281725 |
Download Data Complexity in Pattern Recognition Book in PDF, Epub and Kindle
Automatic pattern recognition has uses in science and engineering, social sciences and finance. This book examines data complexity and its role in shaping theory and techniques across many disciplines, probing strengths and deficiencies of current classification techniques, and the algorithms that drive them. The book offers guidance on choosing pattern recognition classification techniques, and helps the reader set expectations for classification performance.
Author | : Viktor V. Krasnoproshin |
Publisher | : Springer |
Total Pages | : 187 |
Release | : 2017-02-15 |
Genre | : Computers |
ISBN | : 3319542206 |
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This book constitutes the refereed proceedings of the 13th International Conference on Pattern Recognition and Information Processing, PRIP 2016, held in Minsk, Belarus, in October 2016. The 18 revised full papers presented were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on summarizing lectures; pattern recognition and image analysis; information processing and applications.
Author | : Stephen K. Reed |
Publisher | : Academic Press |
Total Pages | : 261 |
Release | : 2013-09-11 |
Genre | : Psychology |
ISBN | : 1483263347 |
Download Psychological Processes in Pattern Recognition Book in PDF, Epub and Kindle
Psychological Processes in Pattern Recognition describes information-processing models of pattern recognition. This book is organized into five parts encompassing 11 chapters that particularly focus on visual pattern recognition and the many issues relevant to a more general theory of pattern recognition. The first three parts cover the representation, temporal effects, and memory codes of pattern recognition. These parts include the features, templates, schemata, and structural descriptions of information processing models. The principles of parallel matching, iconic storage, and the components and networks of memory codes are also considered. The remaining two parts look into the perceptual classification and response selection of pattern recognition. These parts specifically tackle the development of probability, distance, and recognition models. This book is intended primarily for psychologists, graduate students, and researchers who are interested in the problems of pattern recognition and human information processing.
Author | : Alexander V. Tuzikov |
Publisher | : Springer |
Total Pages | : 245 |
Release | : 2022-03-18 |
Genre | : Computers |
ISBN | : 9783030988821 |
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This book constitutes the refereed proceedings of the 15th International Conference on Pattern Recognition and Information Processing, PRIP 2021, held in Minsk, Belarus, in September 2021. Due to the COVID-19 pandemic the conference was held online. The 17 revised full papers were carefully reviewed and selected from 90 submissions. The papers present a discussion on theoretical and applied aspects of computer vision, recognition of signals and images, the use of distributed resources, and high-performance systems.
Author | : Wu Chou |
Publisher | : CRC Press |
Total Pages | : 413 |
Release | : 2003-02-26 |
Genre | : Technology & Engineering |
ISBN | : 0203010523 |
Download Pattern Recognition in Speech and Language Processing Book in PDF, Epub and Kindle
Over the last 20 years, approaches to designing speech and language processing algorithms have moved from methods based on linguistics and speech science to data-driven pattern recognition techniques. These techniques have been the focus of intense, fast-moving research and have contributed to significant advances in this field. Pattern Reco
Author | : Christopher M. Bishop |
Publisher | : Springer |
Total Pages | : 0 |
Release | : 2016-08-23 |
Genre | : Computers |
ISBN | : 9781493938438 |
Download Pattern Recognition and Machine Learning Book in PDF, Epub and Kindle
This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
Author | : Viktor Vladimirovič Krasnoprošin |
Publisher | : |
Total Pages | : 227 |
Release | : 2003 |
Genre | : |
ISBN | : 9789856453901 |
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Author | : King-Sun Fu |
Publisher | : Springer Science & Business Media |
Total Pages | : 350 |
Release | : 2012-12-06 |
Genre | : Computers |
ISBN | : 1461575664 |
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This book contains the Proceedings of the US-Japan Seminar on Learning Process in Control Systems. The seminar, held in Nagoya, Japan, from August 18 to 20, 1970, was sponsored by the US-Japan Cooperative Science Program, jointly supported by the National Science Foundation and the Japan Society for the Promotion of Science. The full texts of all the presented papers except two t are included. The papers cover a great variety of topics related to learning processes and systems, ranging from pattern recognition to systems identification, from learning control to biological modelling. In order to reflect the actual content of the book, the present title was selected. All the twenty-eight papers are roughly divided into two parts--Pattern Recognition and System Identification and Learning Process and Learning Control. It is sometimes quite obvious that some papers can be classified into either part. The choice in these cases was strictly the editor's in order to keep a certain balance between the two parts. During the past decade there has been a considerable growth of interest in problems of pattern recognition and machine learn ing. In designing an optimal pattern recognition or control system, if all the a priori information about the process under study is known and can be described deterministically, the optimal system is usually designed by deterministic optimization techniques.