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Author : Anonim
Publisher : Unknown
Page : 511 pages
File Size : 45,9 Mb
Release : 2005
Category : Electronic
ISBN : 9856329558
Author : Sergey V. Ablameyko,Viktor V. Krasnoproshin,Maryna M. Lukashevich
Publisher : Springer Nature
Page : 320 pages
File Size : 46,5 Mb
Release : 2019-11-22
Category : Computers
ISBN : 9783030354305
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 : Mitra Basu,Tin Kam Ho
Publisher : Springer Science & Business Media
Page : 309 pages
File Size : 44,5 Mb
Release : 2006-12-22
Category : Computers
ISBN : 9781846281723
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 : Stephen K. Reed
Publisher : Academic Press
Page : 261 pages
File Size : 44,5 Mb
Release : 2013-09-11
Category : Psychology
ISBN : 9781483263342
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 : Viktor V. Krasnoproshin,Sergey V. Ablameyko
Publisher : Unknown
Page : 181 pages
File Size : 41,9 Mb
Release : 2017
Category : Artificial intelligence
ISBN : 3319542214
Author : Alexander V. Tuzikov,Alexei M. Belotserkovsky,Marina M. Lukashevich
Publisher : Springer Nature
Page : 256 pages
File Size : 49,8 Mb
Release : 2022-03-17
Category : Computers
ISBN : 9783030988838
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 : Francisco Escolano Ruiz,Pablo Suau Pérez,Boyán Ivanov Bonev
Publisher : Springer Science & Business Media
Page : 375 pages
File Size : 40,6 Mb
Release : 2009-07-14
Category : Computers
ISBN : 9781848822979
Information theory has proved to be effective for solving many computer vision and pattern recognition (CVPR) problems (such as image matching, clustering and segmentation, saliency detection, feature selection, optimal classifier design and many others). Nowadays, researchers are widely bringing information theory elements to the CVPR arena. Among these elements there are measures (entropy, mutual information...), principles (maximum entropy, minimax entropy...) and theories (rate distortion theory, method of types...). This book explores and introduces the latter elements through an incremental complexity approach at the same time where CVPR problems are formulated and the most representative algorithms are presented. Interesting connections between information theory principles when applied to different problems are highlighted, seeking a comprehensive research roadmap. The result is a novel tool both for CVPR and machine learning researchers, and contributes to a cross-fertilization of both areas.
Author : Nanning Zheng,Jianru Xue
Publisher : Springer Science & Business Media
Page : 371 pages
File Size : 46,6 Mb
Release : 2009-07-25
Category : Computers
ISBN : 9781848823129
Why are We Writing This Book? Visual data (graphical, image, video, and visualized data) affect every aspect of modern society. The cheap collection, storage, and transmission of vast amounts of visual data have revolutionized the practice of science, technology, and business. Innovations from various disciplines have been developed and applied to the task of designing intelligent machines that can automatically detect and exploit useful regularities (patterns) in visual data. One such approach to machine intelligence is statistical learning and pattern analysis for visual data. Over the past two decades, rapid advances have been made throughout the ?eld of visual pattern analysis. Some fundamental problems, including perceptual gro- ing,imagesegmentation, stereomatching, objectdetectionandrecognition,and- tion analysis and visual tracking, have become hot research topics and test beds in multiple areas of specialization, including mathematics, neuron-biometry, and c- nition. A great diversity of models and algorithms stemming from these disciplines has been proposed. To address the issues of ill-posed problems and uncertainties in visual pattern modeling and computing, researchers have developed rich toolkits based on pattern analysis theory, harmonic analysis and partial differential eq- tions, geometry and group theory, graph matching, and graph grammars. Among these technologies involved in intelligent visual information processing, statistical learning and pattern analysis is undoubtedly the most popular and imp- tant approach, and it is also one of the most rapidly developing ?elds, with many achievements in recent years. Above all, it provides a unifying theoretical fra- work for intelligent visual information processing applications.
Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 55,6 Mb
Release : 2024-06-29
Category : Electronic
ISBN : 9856453895
Author : Alexander V. Tuzikov,Alexei M. Belotserkovsky,Marina M. Lukashevich
Publisher : Unknown
Page : 0 pages
File Size : 55,5 Mb
Release : 2022
Category : Artificial intelligence
ISBN : 3030988848
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,Biing-Hwang Juang
Publisher : CRC Press
Page : 413 pages
File Size : 42,6 Mb
Release : 2003-02-26
Category : Technology & Engineering
ISBN : 9780203010525
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 : John Nicolis
Publisher : World Scientific
Page : 306 pages
File Size : 40,5 Mb
Release : 1991
Category : Computers
ISBN : 981023662X
This book is the first attempt to give a chaotic dynamics interpretation of processes having to do with category formation and pattern recognition by systems possessing simple hardware e.g. few degrees of freedom. It is multidisciplinary in its approach and would be useful to readers from various fields.
Author : King-Sun Fu
Publisher : Springer Science & Business Media
Page : 350 pages
File Size : 55,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461575665
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.
Author : Frank Y. Shih
Publisher : John Wiley & Sons
Page : 564 pages
File Size : 40,8 Mb
Release : 2010-05-03
Category : Technology & Engineering
ISBN : 9780470404614
A comprehensive guide to the essential principles of image processing and pattern recognition Techniques and applications in the areas of image processing and pattern recognition are growing at an unprecedented rate. Containing the latest state-of-the-art developments in the field, Image Processing and Pattern Recognition presents clear explanations of the fundamentals as well as the most recent applications. It explains the essential principles so readers will not only be able to easily implement the algorithms and techniques, but also lead themselves to discover new problems and applications. Unlike other books on the subject, this volume presents numerous fundamental and advanced image processing algorithms and pattern recognition techniques to illustrate the framework. Scores of graphs and examples, technical assistance, and practical tools illustrate the basic principles and help simplify the problems, allowing students as well as professionals to easily grasp even complicated theories. It also features unique coverage of the most interesting developments and updated techniques, such as image watermarking, digital steganography, document processing and classification, solar image processing and event classification, 3-D Euclidean distance transformation, shortest path planning, soft morphology, recursive morphology, regulated morphology, and sweep morphology. Additional topics include enhancement and segmentation techniques, active learning, feature extraction, neural networks, and fuzzy logic. Featuring supplemental materials for instructors and students, Image Processing and Pattern Recognition is designed for undergraduate seniors and graduate students, engineering and scientific researchers, and professionals who work in signal processing, image processing, pattern recognition, information security, document processing, multimedia systems, and solar physics.
Author : K. C. Santosh,Ravindra S. Hegadi
Publisher : Springer
Page : 717 pages
File Size : 48,6 Mb
Release : 2019-07-19
Category : Computers
ISBN : 9789811391811
This three-volume set constitutes the refereed proceedings of the Second International Conference on Recent Trends in Image Processing and Pattern Recognition (RTIP2R) 2018, held in Solapur, India, in December 2018. The 173 revised full papers presented were carefully reviewed and selected from 374 submissions. The papers are organized in topical sections in the tree volumes. Part I: computer vision and pattern recognition; machine learning and applications; and image processing. Part II: healthcare and medical imaging; biometrics and applications. Part III: document image analysis; image analysis in agriculture; and data mining, information retrieval and applications.
