Pattern Recognition And Applications

Author : Burgos, Diego Alexander Tibaduiza,Vejar, Maribel Anaya,Pozo, Francesc
Publisher : IGI Global
Page : 357 pages
File Size : 49,8 Mb
Release : 2019-12-27
Category : Computers
ISBN : 9781799818410

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Pattern Recognition Applications in Engineering by Burgos, Diego Alexander Tibaduiza,Vejar, Maribel Anaya,Pozo, Francesc Pdf

The implementation of data and information analysis has become a trending solution within multiple professions. New tools and approaches are continually being developed within data analysis to further solve the challenges that come with professional strategy. Pattern recognition is an innovative method that provides comparison techniques and defines new characteristics within the information acquisition process. Despite its recent trend, a considerable amount of research regarding pattern recognition and its various strategies is lacking. Pattern Recognition Applications in Engineering is an essential reference source that discusses various strategies of pattern recognition algorithms within industrial and research applications and provides examples of results in different professional areas including electronics, computation, and health monitoring. Featuring research on topics such as condition monitoring, data normalization, and bio-inspired developments, this book is ideally designed for analysts; researchers; civil, mechanical, and electronic engineers; computing scientists; chemists; academicians; and students.

Author : J.P. Marques de Sá
Publisher : Springer Science & Business Media
Page : 331 pages
File Size : 44,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642566516

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Pattern Recognition by J.P. Marques de Sá Pdf

The book provides a comprehensive view of pattern recognition concepts and methods, illustrated with real-life applications in several areas. A CD-ROM offered with the book includes datasets and software tools, making it easier to follow in a hands-on fashion, right from the start.

Author : K.S. Fu
Publisher : Springer Science & Business Media
Page : 278 pages
File Size : 54,7 Mb
Release : 2012-12-06
Category : Science
ISBN : 9783642664380

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Syntactic Pattern Recognition, Applications by K.S. Fu Pdf

The many different mathematical techniques used to solve pattem recognition problems may be grouped into two general approaches: the decision-theoretic (or discriminant) approach and the syntactic (or structural) approach. In the decision-theoretic approach, aset of characteristic measurements, called features, are extracted from the pattems. Each pattem is represented by a feature vector, and the recognition of each pattem is usually made by partitioning the feature space. Applications of decision-theoretic approach indude character recognition, medical diagnosis, remote sensing, reliability and socio-economics. A relatively new approach is the syntactic approach. In the syntactic approach, ea ch pattem is expressed in terms of a composition of its components. The recognition of a pattem is usually made by analyzing the pattem structure according to a given set of rules. Earlier applications of the syntactic approach indude chromosome dassification, English character recognition and identification of bubble and spark chamber events. The purpose of this monograph is to provide a summary of the major reeent applications of syntactic pattem recognition. After a brief introduction of syntactic pattem recognition in Chapter 1, the nin e mai n chapters (Chapters 2-10) can be divided into three parts. The first three chapters concem with the analysis of waveforms using syntactic methods. Specific application examples indude peak detection and interpretation of electro cardiograms and the recognition of speech pattems. The next five chapters deal with the syntactic recognition of two-dimensional pictorial pattems.

Author : L Koteswara Rao,Md. Zia Ur Rahman,P Rohini
Publisher : CRC Press
Page : 219 pages
File Size : 45,8 Mb
Release : 2022-02-06
Category : Technology & Engineering
ISBN : 9781000460971

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Image Pattern Recognition by L Koteswara Rao,Md. Zia Ur Rahman,P Rohini Pdf

This book describes various types of image patterns for image retrieval. All these patterns are texture dependent. Few image patterns such as Improved directional local extrema patterns, Local Quantized Extrema Patterns, Local Color Oppugnant Quantized Extrema Patterns and Local Mesh quantized extrema patterns are presented. Inter-relationships among the pixels of an image are used for feature extraction. In contrast to the existing patterns these patterns focus on local neighborhood of pixels to creates the feature vector. Evaluation metrics such as precision and recall are calculated after testing with standard databases i.e., Corel-1k, Corel-5k and MIT VisTex database. This book serves as a practical guide for students and researchers. -The text introduces two models of Directional local extrema patterns viz., Integration of color and directional local extrema patterns Integration of Gabor features and directional local extrema patterns. -Provides a framework to extract the features using quantization method -Discusses the local quantized extrema collected from two oppugnant color planes -Illustrates the mesh structure with the pixels at alternate positions.

Author : Carlos M. Travieso-González
Publisher : Unknown
Page : 0 pages
File Size : 44,7 Mb
Release : 2021
Category : Pattern perception
ISBN : 1789855616

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Applications of Pattern Recognition by Carlos M. Travieso-González Pdf

Nowadays, technological advances allow the development of many applications in different fields. In this book, 'Applications of Pattern Recognition' , two important fields are shown. The first field, data analysis, is a good tool to identify patterns; in particular, it is observed by a stereoscopic calculation model based on fixation eye movement, a visual interactive programming learning system, an approach based on color analysis of Habanero chili pepper, an approach for the visualization and analysis of inconsistent data, and finally, a system for building 3D abstractions with wireframes. On the other hand, automatic systems help to detect or identify different kinds of patterns. It is applying to incomplete data analysis a retinal biometric approach based on crossing and bifurcation, an Arabic handwritten signature identification system, and finally, the use of clustering methods for gene expression data with RNA-seq.

Author : Gernot A. Fink
Publisher : Springer Science & Business Media
Page : 275 pages
File Size : 53,8 Mb
Release : 2014-01-14
Category : Computers
ISBN : 9781447163084

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Markov Models for Pattern Recognition by Gernot A. Fink Pdf

This thoroughly revised and expanded new edition now includes a more detailed treatment of the EM algorithm, a description of an efficient approximate Viterbi-training procedure, a theoretical derivation of the perplexity measure and coverage of multi-pass decoding based on n-best search. Supporting the discussion of the theoretical foundations of Markov modeling, special emphasis is also placed on practical algorithmic solutions. Features: introduces the formal framework for Markov models; covers the robust handling of probability quantities; presents methods for the configuration of hidden Markov models for specific application areas; describes important methods for efficient processing of Markov models, and the adaptation of the models to different tasks; examines algorithms for searching within the complex solution spaces that result from the joint application of Markov chain and hidden Markov models; reviews key applications of Markov models.

Author : María Inés Torres,Alberto Sanfeliu
Publisher : Unknown
Page : 316 pages
File Size : 41,7 Mb
Release : 2000
Category : Artificial intelligence
ISBN : 4274903621

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Pattern Recognition and Applications by María Inés Torres,Alberto Sanfeliu Pdf

Author : Ana Fred,Maria De Marsico,Gabriella Sanniti di Baja
Publisher : Springer
Page : 0 pages
File Size : 42,8 Mb
Release : 2017-02-03
Category : Computers
ISBN : 3319533746

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Pattern Recognition Applications and Methods by Ana Fred,Maria De Marsico,Gabriella Sanniti di Baja Pdf

This book contains revised and extended versions of selected papers from the 5th International Conference on Pattern Recognition, ICPRAM 2016, held in Rome, Italy, in February 2016. The 13 full papers were carefully reviewed and selected from 125 initial submissions and describe up-to-date applications of pattern recognition techniques to real-world problems, interdisciplinary research, experimental and/or theoretical studies yielding new insights that advance pattern recognition methods.

Author : King-Sun Fu
Publisher : CRC Press
Page : 284 pages
File Size : 44,7 Mb
Release : 2019-07-22
Category : Technology & Engineering
ISBN : 9781351078252

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Applications of Pattern Recognition by King-Sun Fu Pdf

This monograph is intended to cover several major applications of pattern recognition. After a brief introduction to pattern recognition in Chapter 1, the two major approaches, statistical approach and syntactic approach, are reviewed in Chapter 2, and 3, respectively. Other topics include the application of pattern recognition to seismic wave interpretation, to system reliability problems, to medical data analysis, as well as character and speech recognition.

Author : Horst Bunke,Alberto Sanfeliu
Publisher : World Scientific
Page : 572 pages
File Size : 53,7 Mb
Release : 1990-01-01
Category : Computers
ISBN : 9789814507639

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Syntactic And Structural Pattern Recognition - Theory And Applications by Horst Bunke,Alberto Sanfeliu Pdf

This book is currently the only one on this subject containing both introductory material and advanced recent research results. It presents, at one end, fundamental concepts and notations developed in syntactic and structural pattern recognition and at the other, reports on the current state of the art with respect to both methodology and applications. In particular, it includes artificial intelligence related techniques, which are likely to become very important in future pattern recognition.The book consists of individual chapters written by different authors. The chapters are grouped into broader subject areas like “Syntactic Representation and Parsing”, “Structural Representation and Matching”, “Learning”, etc. Each chapter is a self-contained presentation of one particular topic. In order to keep the original flavor of each contribution, no efforts were undertaken to unify the different chapters with respect to notation. Naturally, the self-containedness of the individual chapters results in some redundancy. However, we believe that this handicap is compensated by the fact that each contribution can be read individually without prior study of the preceding chapters. A unification of the spectrum of material covered by the individual chapters is provided by the subject and author index included at the end of the book.

Author : Alvaro Pardo,Josef Kittler
Publisher : Springer
Page : 0 pages
File Size : 41,7 Mb
Release : 2015-10-22
Category : Computers
ISBN : 3319257501

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Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications by Alvaro Pardo,Josef Kittler Pdf

This book constitutes the refereed proceedings of the 20th Iberoamerican Congress on Pattern Recognition, CIARP 2015, held in Montevideo, Uruguay, in November 2015. The 95 papers presented were carefully reviewed and selected from 185 submissions. The papers are organized in topical sections on applications on pattern recognition; biometrics; computer vision; gesture recognition; image classification and retrieval; image coding, processing and analysis; segmentation, analysis of shape and texture; signals analysis and processing; theory of pattern recognition; video analysis, segmentation and tracking.

Author : Verma, Brijesh,Blumenstein, Michael
Publisher : IGI Global
Page : 454 pages
File Size : 51,7 Mb
Release : 2008-06-30
Category : Computers
ISBN : 9781599048093

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Pattern Recognition Technologies and Applications: Recent Advances by Verma, Brijesh,Blumenstein, Michael Pdf

The nature of handwriting in our society has significantly altered over the ages due to the introduction of new technologies such as computers and the World Wide Web. With increases in the amount of signature verification needs, state of the art internet and paper-based automated recognition methods are necessary. Pattern Recognition Technologies and Applications: Recent Advances provides cutting-edge pattern recognition techniques and applications. Written by world-renowned experts in their field, this easy to understand book is a must have for those seeking explanation in topics such as on- and offline handwriting and speech recognition, signature verification, and gender classification.

Author : Witold Pedrycz,Shyi-Ming Chen
Publisher : Springer
Page : 428 pages
File Size : 42,8 Mb
Release : 2018-04-30
Category : Technology & Engineering
ISBN : 9783319896298

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Computational Intelligence for Pattern Recognition by Witold Pedrycz,Shyi-Ming Chen Pdf

The book presents a comprehensive and up-to-date review of fuzzy pattern recognition. It carefully discusses a range of methodological and algorithmic issues, as well as implementations and case studies, and identifies the best design practices, assesses business models and practices of pattern recognition in real-world applications in industry, health care, administration, and business. Since the inception of fuzzy sets, fuzzy pattern recognition with its methodology, algorithms, and applications, has offered new insights into the principles and practice of pattern classification. Computational intelligence (CI) establishes a comprehensive framework aimed at fostering the paradigm of pattern recognition. The collection of contributions included in this book offers a representative overview of the advances in the area, with timely, in-depth and comprehensive material on the conceptually appealing and practically sound methodology and practices of CI-based pattern recognition.

Author : Pradipta Maji,Sankar K. Pal
Publisher : John Wiley & Sons
Page : 312 pages
File Size : 40,5 Mb
Release : 2012-02-14
Category : Technology & Engineering
ISBN : 9781118004401

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Rough-Fuzzy Pattern Recognition by Pradipta Maji,Sankar K. Pal Pdf

Learn how to apply rough-fuzzy computing techniques to solve problems in bioinformatics and medical image processing Emphasizing applications in bioinformatics and medical image processing, this text offers a clear framework that enables readers to take advantage of the latest rough-fuzzy computing techniques to build working pattern recognition models. The authors explain step by step how to integrate rough sets with fuzzy sets in order to best manage the uncertainties in mining large data sets. Chapters are logically organized according to the major phases of pattern recognition systems development, making it easier to master such tasks as classification, clustering, and feature selection. Rough-Fuzzy Pattern Recognition examines the important underlying theory as well as algorithms and applications, helping readers see the connections between theory and practice. The first chapter provides an introduction to pattern recognition and data mining, including the key challenges of working with high-dimensional, real-life data sets. Next, the authors explore such topics and issues as: Soft computing in pattern recognition and data mining A mathematical framework for generalized rough sets, incorporating the concept of fuzziness in defining the granules as well as the set Selection of non-redundant and relevant features of real-valued data sets Selection of the minimum set of basis strings with maximum information for amino acid sequence analysis Segmentation of brain MR images for visualization of human tissues Numerous examples and case studies help readers better understand how pattern recognition models are developed and used in practice. This text—covering the latest findings as well as directions for future research—is recommended for both students and practitioners working in systems design, pattern recognition, image analysis, data mining, bioinformatics, soft computing, and computational intelligence.

Author : Sergios Theodoridis,Konstantinos Koutroumbas
Publisher : Elsevier
Page : 689 pages
File Size : 40,5 Mb
Release : 2003-05-15
Category : Technology & Engineering
ISBN : 008051362X

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Pattern Recognition by Sergios Theodoridis,Konstantinos Koutroumbas Pdf

Pattern recognition is a scientific discipline that is becoming increasingly important in the age of automation and information handling and retrieval. Patter Recognition, 2e covers the entire spectrum of pattern recognition applications, from image analysis to speech recognition and communications. This book presents cutting-edge material on neural networks, - a set of linked microprocessors that can form associations and uses pattern recognition to "learn" -and enhances student motivation by approaching pattern recognition from the designer's point of view. A direct result of more than 10 years of teaching experience, the text was developed by the authors through use in their own classrooms. *Approaches pattern recognition from the designer's point of view *New edition highlights latest developments in this growing field, including independent components and support vector machines, not available elsewhere *Supplemented by computer examples selected from applications of interest