Pattern Recognition And Data Analysis With Applications

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Pattern Recognition and Data Analysis with Applications

Author : Deepak Gupta
Publisher : Springer Nature
ISBN 13 : 9811915202
Total Pages : 816 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Pattern Recognition and Data Analysis with Applications by : Deepak Gupta

Download or read book Pattern Recognition and Data Analysis with Applications written by Deepak Gupta and published by Springer Nature. This book was released on 2022-09-01 with total page 816 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers latest advancements in the areas of machine learning, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, signal processing and their applications in real world. The topics covered in machine learning involves feature extraction, variants of support vector machine (SVM), extreme learning machine (ELM), artificial neural network (ANN) and other areas in machine learning. The mathematical analysis of computer vision and pattern recognition involves the use of geometric techniques, scene understanding and modelling from video, 3D object recognition, localization and tracking, medical image analysis and so on. Computational learning theory involves different kinds of learning like incremental, online, reinforcement, manifold, multi-task, semi-supervised, etc. Further, it covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. Additionally, it covers the recent developments to network intelligence for analyzing the network information and thereby adapting the algorithms dynamically to improve the efficiency. In the last, it includes the progress in signal processing to process the normal and abnormal categories of real-world signals, for instance signals generated from IoT devices, smart systems, speech, videos, etc., and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG) and electromyogram (EMG).

Applications of Pattern Recognition

Author : King-Sun Fu
Publisher : CRC Press
ISBN 13 : 1351086707
Total Pages : 392 pages
Book Rating : 4.3/5 (51 download)

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Book Synopsis Applications of Pattern Recognition by : King-Sun Fu

Download or read book Applications of Pattern Recognition written by King-Sun Fu and published by CRC Press. This book was released on 2019-07-22 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Pattern Recognition

Author : S. Ramakrishnan
Publisher : BoD – Books on Demand
ISBN 13 : 9535128035
Total Pages : 137 pages
Book Rating : 4.5/5 (351 download)

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Book Synopsis Pattern Recognition by : S. Ramakrishnan

Download or read book Pattern Recognition written by S. Ramakrishnan and published by BoD – Books on Demand. This book was released on 2016-12-14 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pattern recognition continued to be one of the important research fields in computer science and electrical engineering. Lots of new applications are emerging, and hence pattern analysis and synthesis become significant subfields in pattern recognition. This book is an edited volume and has six chapters arranged into two sections, namely, pattern recognition analysis and pattern recognition applications. This book will be useful for graduate students, researchers, and practicing engineers working in the field of machine vision and computer science and engineering.

Statistical Pattern Recognition

Author : Andrew R. Webb
Publisher : John Wiley & Sons
ISBN 13 : 0470854782
Total Pages : 516 pages
Book Rating : 4.4/5 (78 download)

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Book Synopsis Statistical Pattern Recognition by : Andrew R. Webb

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

Pattern Recognition

Author : Wladyslaw Homenda
Publisher : John Wiley & Sons
ISBN 13 : 1119302854
Total Pages : 320 pages
Book Rating : 4.1/5 (193 download)

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Book Synopsis Pattern Recognition by : Wladyslaw Homenda

Download or read book Pattern Recognition written by Wladyslaw Homenda and published by John Wiley & Sons. This book was released on 2018-02-09 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new approach to the issue of data quality in pattern recognition Detailing foundational concepts before introducing more complex methodologies and algorithms, this book is a self-contained manual for advanced data analysis and data mining. Top-down organization presents detailed applications only after methodological issues have been mastered, and step-by-step instructions help ensure successful implementation of new processes. By positioning data quality as a factor to be dealt with rather than overcome, the framework provided serves as a valuable, versatile tool in the analysis arsenal. For decades, practical need has inspired intense theoretical and applied research into pattern recognition for numerous and diverse applications. Throughout, the limiting factor and perpetual problem has been data—its sheer diversity, abundance, and variable quality presents the central challenge to pattern recognition innovation. Pattern Recognition: A Quality of Data Perspective repositions that challenge from a hurdle to a given, and presents a new framework for comprehensive data analysis that is designed specifically to accommodate problem data. Designed as both a practical manual and a discussion about the most useful elements of pattern recognition innovation, this book: Details fundamental pattern recognition concepts, including feature space construction, classifiers, rejection, and evaluation Provides a systematic examination of the concepts, design methodology, and algorithms involved in pattern recognition Includes numerous experiments, detailed schemes, and more advanced problems that reinforce complex concepts Acts as a self-contained primer toward advanced solutions, with detailed background and step-by-step processes Introduces the concept of granules and provides a framework for granular computing Pattern recognition plays a pivotal role in data analysis and data mining, fields which are themselves being applied in an expanding sphere of utility. By facing the data quality issue head-on, this book provides students, practitioners, and researchers with a clear way forward amidst the ever-expanding data supply.

Intelligent Data Analysis

Author : Hsiao-Fan Wang
Publisher : IGI Global Snippet
ISBN 13 : 9781599049823
Total Pages : 344 pages
Book Rating : 4.0/5 (498 download)

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Book Synopsis Intelligent Data Analysis by : Hsiao-Fan Wang

Download or read book Intelligent Data Analysis written by Hsiao-Fan Wang and published by IGI Global Snippet. This book was released on 2009 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book tackles those data sets and covers a variety of issues in relation to intelligent data analysis so that patterns from frequent or rare events in spatial or temporal spaces can be revealed. This book brings together current research, results, problems, and applications from both theoretical and practical approaches"--Provided by publisher.

Data Analysis and Applications 3

Author : Andreas Makrides
Publisher : John Wiley & Sons
ISBN 13 : 1119721865
Total Pages : 210 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Data Analysis and Applications 3 by : Andreas Makrides

Download or read book Data Analysis and Applications 3 written by Andreas Makrides and published by John Wiley & Sons. This book was released on 2020-04-09 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data analysis as an area of importance has grown exponentially, especially during the past couple of decades. This can be attributed to a rapidly growing computer industry and the wide applicability of computational techniques, in conjunction with new advances of analytic tools. This being the case, the need for literature that addresses this is self-evident. New publications are appearing, covering the need for information from all fields of science and engineering, thanks to the universal relevance of data analysis and statistics packages. This book is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians who have been working at the forefront of data analysis. The chapters included in this volume represent a cross-section of current concerns and research interests in these scientific areas. The material is divided into two parts: Computational Data Analysis, and Classification Data Analysis, with methods for both - providing the reader with both theoretical and applied information on data analysis methods, models and techniques and appropriate applications.

Pattern Recognition Algorithms for Data Mining

Author : Sankar K. Pal
Publisher : CRC Press
ISBN 13 : 0203998073
Total Pages : 280 pages
Book Rating : 4.2/5 (39 download)

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Book Synopsis Pattern Recognition Algorithms for Data Mining by : Sankar K. Pal

Download or read book Pattern Recognition Algorithms for Data Mining written by Sankar K. Pal and published by CRC Press. This book was released on 2004-05-27 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both theoretical and experimental results. Tasks covered include data condensation, feature selection, case generation, clustering/classification, and rule generation and evaluation. This volume presents various theories, me

Data Analysis and Pattern Recognition in Multiple Databases

Author : Animesh Adhikari
Publisher : Springer Science & Business Media
ISBN 13 : 3319034103
Total Pages : 238 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Data Analysis and Pattern Recognition in Multiple Databases by : Animesh Adhikari

Download or read book Data Analysis and Pattern Recognition in Multiple Databases written by Animesh Adhikari and published by Springer Science & Business Media. This book was released on 2013-12-09 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pattern recognition in data is a well known classical problem that falls under the ambit of data analysis. As we need to handle different data, the nature of patterns, their recognition and the types of data analyses are bound to change. Since the number of data collection channels increases in the recent time and becomes more diversified, many real-world data mining tasks can easily acquire multiple databases from various sources. In these cases, data mining becomes more challenging for several essential reasons. We may encounter sensitive data originating from different sources - those cannot be amalgamated. Even if we are allowed to place different data together, we are certainly not able to analyze them when local identities of patterns are required to be retained. Thus, pattern recognition in multiple databases gives rise to a suite of new, challenging problems different from those encountered before. Association rule mining, global pattern discovery and mining patterns of select items provide different patterns discovery techniques in multiple data sources. Some interesting item-based data analyses are also covered in this book. Interesting patterns, such as exceptional patterns, icebergs and periodic patterns have been recently reported. The book presents a thorough influence analysis between items in time-stamped databases. The recent research on mining multiple related databases is covered while some previous contributions to the area are highlighted and contrasted with the most recent developments.

Machine Interpretation of Patterns

Author : Rajat K. De
Publisher : World Scientific
ISBN 13 : 9814299189
Total Pages : 316 pages
Book Rating : 4.8/5 (142 download)

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Book Synopsis Machine Interpretation of Patterns by : Rajat K. De

Download or read book Machine Interpretation of Patterns written by Rajat K. De and published by World Scientific. This book was released on 2010 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This review volume provides from both theoretical and application points of views, recent developments and state-of-the-art reviews in various areas of pattern recognition, image processing, machine learning, soft computing, data mining and web intelligence. Machine Interpretation of Patterns: Image Analysis and Data Mining is an essential and invaluable resource for professionals and advanced graduates in computer science, mathematics and life sciences. It can also be considered as an integrated volume to researchers interested in doing interdisciplinary research where computer science is a component.

Applications of Pattern Recognition

Author : Carlos M. Travieso-González
Publisher :
ISBN 13 : 9781838809133
Total Pages : 0 pages
Book Rating : 4.8/5 (91 download)

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Book Synopsis Applications of Pattern Recognition by : Carlos M. Travieso-González

Download or read book Applications of Pattern Recognition written by Carlos M. Travieso-González and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Pattern Recognition Approach to Data Interpretation

Author : Diane Wolff
Publisher : Springer Science & Business Media
ISBN 13 : 146159331X
Total Pages : 226 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Pattern Recognition Approach to Data Interpretation by : Diane Wolff

Download or read book Pattern Recognition Approach to Data Interpretation written by Diane Wolff and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: An attempt is made in this book to give scientists a detailed working knowledge of the powerful mathematical tools available to aid in data interpretation, especially when con fronted with large data sets incorporating many parameters. A minimal amount of com puter knowledge is necessary for successful applications, and we have tried conscien tiously to provide this in the appropriate sections and references. Scientific data are now being produced at rates not believed possible ten years ago. A major goal in any sci entific investigation should be to obtain a critical evaluation of the data generated in a set of experiments in order to extract whatever useful scientific information may be present. Very often, the large number of measurements present in the data set does not make this an easy task. The goals of this book are thus fourfold. The first is to create a useful reference on the applications of these statistical pattern recognition methods to the sciences. The majority of our discussions center around the fields of chemistry, geology, environmen tal sciences, physics, and the biological and medical sciences. In Chapter IV a section is devoted to each of these fields. Since the applications of pattern recognition tech niques are essentially unlimited, restricted only by the outer limitations of.

Pattern Recognition

Author : J.P. Marques de Sá
Publisher : Springer Science & Business Media
ISBN 13 : 3642566510
Total Pages : 331 pages
Book Rating : 4.6/5 (425 download)

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Book Synopsis Pattern Recognition by : J.P. Marques de Sá

Download or read book Pattern Recognition written by J.P. Marques de Sá and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Classification

Author : Charu C. Aggarwal
Publisher : CRC Press
ISBN 13 : 1466586745
Total Pages : 710 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Data Classification by : Charu C. Aggarwal

Download or read book Data Classification written by Charu C. Aggarwal and published by CRC Press. This book was released on 2014-07-25 with total page 710 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensive Coverage of the Entire Area of Classification Research on the problem of classification tends to be fragmented across such areas as pattern recognition, database, data mining, and machine learning. Addressing the work of these different communities in a unified way, Data Classification: Algorithms and Applications explores the underlying algorithms of classification as well as applications of classification in a variety of problem domains, including text, multimedia, social network, and biological data. This comprehensive book focuses on three primary aspects of data classification: Methods-The book first describes common techniques used for classification, including probabilistic methods, decision trees, rule-based methods, instance-based methods, support vector machine methods, and neural networks. Domains-The book then examines specific methods used for data domains such as multimedia, text, time-series, network, discrete sequence, and uncertain data. It also covers large data sets and data streams due to the recent importance of the big data paradigm. Variations-The book concludes with insight on variations of the classification process. It discusses ensembles, rare-class learning, distance function learning, active learning, visual learning, transfer learning, and semi-supervised learning as well as evaluation aspects of classifiers.

Pattern Recognition Applications in Engineering

Author : Burgos, Diego Alexander Tibaduiza
Publisher : IGI Global
ISBN 13 : 1799818411
Total Pages : 357 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Pattern Recognition Applications in Engineering by : Burgos, Diego Alexander Tibaduiza

Download or read book Pattern Recognition Applications in Engineering written by Burgos, Diego Alexander Tibaduiza and published by IGI Global. This book was released on 2019-12-27 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Learning Representation for Multi-View Data Analysis

Author : Zhengming Ding
Publisher : Springer
ISBN 13 : 3030007340
Total Pages : 268 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Learning Representation for Multi-View Data Analysis by : Zhengming Ding

Download or read book Learning Representation for Multi-View Data Analysis written by Zhengming Ding and published by Springer. This book was released on 2018-12-06 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book equips readers to handle complex multi-view data representation, centered around several major visual applications, sharing many tips and insights through a unified learning framework. This framework is able to model most existing multi-view learning and domain adaptation, enriching readers’ understanding from their similarity, and differences based on data organization and problem settings, as well as the research goal. A comprehensive review exhaustively provides the key recent research on multi-view data analysis, i.e., multi-view clustering, multi-view classification, zero-shot learning, and domain adaption. More practical challenges in multi-view data analysis are discussed including incomplete, unbalanced and large-scale multi-view learning. Learning Representation for Multi-View Data Analysis covers a wide range of applications in the research fields of big data, human-centered computing, pattern recognition, digital marketing, web mining, and computer vision.

Progress in Pattern Recognition, Image Analysis and Applications

Author : José Francisco Martínez-Trinidad
Publisher : Springer Science & Business Media
ISBN 13 : 3540465561
Total Pages : 1014 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Progress in Pattern Recognition, Image Analysis and Applications by : José Francisco Martínez-Trinidad

Download or read book Progress in Pattern Recognition, Image Analysis and Applications written by José Francisco Martínez-Trinidad and published by Springer Science & Business Media. This book was released on 2006-10-12 with total page 1014 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 11th Iberoamerican Congress on Pattern Recognition, CIARP 2006, held in Cancun, Mexico in November 2006. The 99 revised full papers presented together with three keynote articles were carefully reviewed and selected from 239 submissions. The papers cover ongoing research and mathematical methods.