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Advantages And Pitfalls Of Pattern Recognition
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Book Synopsis Advantages and Pitfalls of Pattern Recognition by : Horst Langer
Download or read book Advantages and Pitfalls of Pattern Recognition written by Horst Langer and published by Elsevier. This book was released on 2019-11-23 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advantages and Pitfalls of Pattern Recognition presents various methods of pattern recognition and classification, useful to geophysicists, geochemists, geologists, geographers, data analysts, and educators and students of geosciences. Scientific and technological progress has dramatically improved the knowledge of our planet with huge amounts of digital data available in various fields of Earth Sciences, such as geology, geophysics, and geography. This has led to a new perspective of data analysis, requiring specific techniques that take several features into consideration rather than single parameters. Pattern recognition techniques offer a suitable key for processing and extracting useful information from the data of multivariate analysis. This book explores both supervised and unsupervised pattern recognition techniques, while providing insight into their application. Offers real-world examples of techniques for pattern recognition and handling multivariate data Includes examples, applications, and diagrams to enhance understanding Provides an introduction and access to relevant software packages
Book Synopsis A Probabilistic Theory of Pattern Recognition by : Luc Devroye
Download or read book A Probabilistic Theory of Pattern Recognition written by Luc Devroye and published by Springer Science & Business Media. This book was released on 2013-11-27 with total page 631 pages. Available in PDF, EPUB and Kindle. Book excerpt: A self-contained and coherent account of probabilistic techniques, covering: distance measures, kernel rules, nearest neighbour rules, Vapnik-Chervonenkis theory, parametric classification, and feature extraction. Each chapter concludes with problems and exercises to further the readers understanding. Both research workers and graduate students will benefit from this wide-ranging and up-to-date account of a fast- moving field.
Book Synopsis Frontiers of Pattern Recognition by : Satosi Watanabe
Download or read book Frontiers of Pattern Recognition written by Satosi Watanabe and published by . This book was released on 1972 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Pattern Recognition by : Andrzej Zak
Download or read book Pattern Recognition written by Andrzej Zak and published by BoD – Books on Demand. This book was released on 2019-07-31 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pattern recognition, despite its relatively short history, has already found practical application in many areas of human activity. Systems of pattern recognition usually support people in performing tasks related to ensuring security, including access to premises and devices, detection of unusual changes (e.g. in medicine, cartography, geology), diagnosing technical conditions of devices, and many others. Nevertheless, pattern recognition is probably the most developing area because of the great demand for such solutions in the different areas of our lives. In this book we have collected the experience of scientists from different parts of the world who have researched diverse areas connected directly or indirectly with pattern recognition. We hope that this book will be a treasure trove of knowledge and inspiration for further research in the field of pattern recognition.
Book Synopsis Pattern Recognition by : Fouad Sabry
Download or read book Pattern Recognition written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-07-05 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Pattern Recognition The process of automatically recognizing patterns and regularities within data is known as pattern recognition. Statistical data analysis, signal processing, image analysis, information retrieval, bioinformatics, data compression, computer graphics, and machine learning are just few of the fields that can benefit from its use. The fields of statistics and engineering are where pattern recognition got its start; some contemporary methods of pattern recognition involve the use of machine learning, which is made possible by the increased availability of huge data and the more abundant computing capacity. Both of these pursuits might be considered to be two facets of the same application sector, and both of these activities have undergone significant development over the course of the last several decades. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Pattern recognition Chapter 2: Supervised learning Chapter 3: Linear classifier Chapter 4: Perceptron Chapter 5: Gaussian process Chapter 6: Expectation-maximization algorithm Chapter 7: Generalized linear model Chapter 8: Statistical learning theory Chapter 9: Kernel method Chapter 10: Probabilistic classification (II) Answering the public top questions about pattern recognition. (III) Real world examples for the usage of pattern recognition in many fields. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of pattern recognition. What is Artificial Intelligence Series The artificial intelligence book series provides comprehensive coverage in over 200 topics. Each ebook covers a specific Artificial Intelligence topic in depth, written by experts in the field. The series aims to give readers a thorough understanding of the concepts, techniques, history and applications of artificial intelligence. Topics covered include machine learning, deep learning, neural networks, computer vision, natural language processing, robotics, ethics and more. The ebooks are written for professionals, students, and anyone interested in learning about the latest developments in this rapidly advancing field. The artificial intelligence book series provides an in-depth yet accessible exploration, from the fundamental concepts to the state-of-the-art research. With over 200 volumes, readers gain a thorough grounding in all aspects of Artificial Intelligence. The ebooks are designed to build knowledge systematically, with later volumes building on the foundations laid by earlier ones. This comprehensive series is an indispensable resource for anyone seeking to develop expertise in artificial intelligence.
Book Synopsis Pattern Recognition by : Brett Anderson
Download or read book Pattern Recognition written by Brett Anderson and published by Scientific e-Resources. This book was released on 2019-09-14 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Watching the environment and recognising patterns with the end goal of basic leadership is central to human instinct. This book manages the logical train that empowers comparable observation in machines through pattern recognition, which has application in differing innovation regions-character recognition, picture handling, modern computerization, web looks, discourse recognition, therapeutic diagnostics, target recognition, space science, remote detecting, information mining, biometric recognizable proof-to give some examples. This book is a composition of central subjects in pattern recognition utilizing an algorithmic approach. It gives a careful prologue to the ideas of pattern recognition and an efficient record of the real points in pattern recognition other than assessing the huge advance made in the field as of late. It incorporates fundamental strategies of pattern recognition, neural systems, bolster vector machines and choice trees. While hypothetical angles have been given due scope, the accentuation is more on the pragmatic. Pattern recognition has application in practically every field of human undertaking including topography, geology, space science and brain research. All the more particularly, it is helpful in bioinformatics, mental investigation, biometrics and a large group of different applications.
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 312 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.
Book Synopsis Pattern Recognition in Industry by : Phiroz Bhagat
Download or read book Pattern Recognition in Industry written by Phiroz Bhagat and published by Elsevier. This book was released on 2005-03-30 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Find it hard to extract and utilise valuable knowledge from the ever-increasing data deluge?" If so, this book will help, as it explores pattern recognition technology and its concomitant role in extracting useful information to build technical and business models to gain competitive industrial advantage. *Based on first-hand experience in the practice of pattern recognition technology and its development and deployment for profitable application in Industry. Phiroz Bhagat is often referred to as the pioneer of neural net and pattern recognition technology, and is uniquely qualified to write this book. He brings more than two decades of experience in the "real-world" application of cutting-edge technology for competitive advantage in industry. Two wave fronts are upon us today: we are being bombarded by an enormous amount of data, and we are confronted by continually increasing technical and business advances. Ideally, the endless stream of data should be one of our major assets. However, this potential asset often tends to overwhelm rather than enrich. Competitive advantage depends on our ability to extract and utilize nuggets of valuable knowledge and insight from this data deluge. The challenges that need to be overcome include the under-utilization of available data due to competing priorities, and the separate and somewhat disparate existing data systems that have difficulty interacting with each other. Conventional approaches to formulating models are becoming progressively more expensive in time and effort. To impart a competitive edge, engineering science in the 21st century needs to augment traditional modelling processes by auto-classifying and self-organizing data; developing models directly from operating experience, and then optimizing the results to provide effective strategies and operating decisions. This approach has wide applicability; in areas ranging from manufacturing processes, product performance and scientific research, to financial and business fields. This monograph explores pattern recognition technology, and its concomitant role in extracting useful knowledge to build technical and business models directly from data, and in optimizing the results derived from these models within the context of delivering competitive industrial advantage. It is not intended to serve as a comprehensive reference source on the subject. Rather, it is based on first-hand experience in the practice of this technology: its development and deployment for profitable application in industry. The technical topics covered in the monograph will focus on the triad of technological areas that constitute the contemporary workhorses of successful industrial application of pattern recognition. These are: systems for self-organising data; data-driven modelling; and genetic algorithms as robust optimizers. "Find it hard to extract and utilise valuable knowledge from the ever-increasing data deluge?" If so, this book will help, as it explores pattern recognition technology and its concomitant role in extracting useful information to build technical and business models to gain competitive industrial advantage. Based on first-hand experience in the practice of pattern recognition technology and its development and deployment for profitable application in Industry. Phiroz Bhagat is often referred to as the pioneer of neural net and pattern recognition technology, and is uniquely qualified to write this book. He brings more than two decades of experience in the "real-world" application of cutting-edge technology for competitive advantage in industry.
Book Synopsis Seismicity in Volcanic Areas by : Derek Keir
Download or read book Seismicity in Volcanic Areas written by Derek Keir and published by Frontiers Media SA. This book was released on 2022-11-04 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Chemical Ecology by : Anne-Geneviève Bagnères
Download or read book Chemical Ecology written by Anne-Geneviève Bagnères and published by John Wiley & Sons. This book was released on 2016-08-29 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book features comparative perspectives on the field of chemical ecology, present and future, offered by scientists from a wide variety of disciplines. The scientists contributing to this book –biologists, ecologists, biochemists, chemists, biostatisticians – are interested in marine, freshwater and terrestrial ecosystems and work on life forms ranging from micro-organisms to mammals, including humans, living in areas from the tropics to polar regions. Here, they cross their analyses of the present state of chemical ecology and its perspectives for the future. Those presented here include complex, multispecies communities and cover a wide range both of organisms and of the types of molecules that mediate the interactions between them. Up to now, no book has presented a solid scientific treatment of a wide range of examples. This book illustrates a diverse panel of the most advanced aspects of this rapidly expanding field.
Book Synopsis Pattern Recognition by : Adam Herout
Download or read book Pattern Recognition written by Adam Herout and published by BoD – Books on Demand. This book was released on 2010-02-01 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pattern recognition is a very wide research field. It involves factors as diverse as sensors, feature extraction, pattern classification, decision fusion, applications and others. The signals processed are commonly one, two or three dimensional, the processing is done in real- time or takes hours and days, some systems look for one narrow object class, others search huge databases for entries with at least a small amount of similarity. No single person can claim expertise across the whole field, which develops rapidly, updates its paradigms and comprehends several philosophical approaches. This book reflects this diversity by presenting a selection of recent developments within the area of pattern recognition and related fields. It covers theoretical advances in classification and feature extraction as well as application-oriented works. Authors of these 25 works present and advocate recent achievements of their research related to the field of pattern recognition.
Book Synopsis Hybrid Methods in Pattern Recognition by : Horst Bunke
Download or read book Hybrid Methods in Pattern Recognition written by Horst Bunke and published by World Scientific. This book was released on 2002 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of pattern recognition has seen enormous progress since its beginnings almost 50 years ago. A large number of different approaches have been proposed. Hybrid methods aim at combining the advantages of different paradigms within a single system. Hybrid Methods in Pattern Recognition is a collection of articles describing recent progress in this emerging field. It covers topics such as the combination of neural nets with fuzzy systems or hidden Markov models, neural networks for the processing of symbolic data structures, hybrid methods in data mining, the combination of symbolic and subsymbolic learning, and so on. Also included is recent work on multiple classifier systems. Furthermore, the book deals with applications in on-line and off-line handwriting recognition, remotely sensed image interpretation, fingerprint identification, and automatic text categorization.
Book Synopsis Pattern Recognition Theory and Applications by : Pierre A Devijver
Download or read book Pattern Recognition Theory and Applications written by Pierre A Devijver and published by . This book was released on 1987-07-24 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
Book Synopsis Advances In Pattern Recognition And Artificial Intelligence by : Marleah Blom
Download or read book Advances In Pattern Recognition And Artificial Intelligence written by Marleah Blom and published by World Scientific. This book was released on 2021-11-16 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes reviewed papers by international scholars from the 2020 International Conference on Pattern Recognition and Artificial Intelligence (held online). The papers have been expanded to provide more details specifically for the book. It is geared to promote ongoing interest and understanding about pattern recognition and artificial intelligence. Like the previous book in the series, this book covers a range of topics and illustrates potential areas where pattern recognition and artificial intelligence can be applied. It highlights, for example, how pattern recognition and artificial intelligence can be used to classify, predict, detect and help promote further discoveries related to credit scores, criminal news, national elections, license plates, gender, personality characteristics, health, and more.Chapters include works centred on medical and financial applications as well as topics related to handwriting analysis and text processing, internet security, image analysis, database creation, neural networks and deep learning. While the book is geared to promote interest from the general public, it may also be of interest to graduate students and researchers in the field.
Book Synopsis Pattern Recognition by : Jürgen Beyerer
Download or read book Pattern Recognition written by Jürgen Beyerer and published by Walter de Gruyter GmbH & Co KG. This book was released on 2024-04-01 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book offers a thorough introduction to Pattern Recognition aimed at master and advanced bachelor students of engineering and the natural sciences. Besides classification - the heart of Pattern Recognition - special emphasis is put on features, their typology, their properties and their systematic construction. Additionally, general principles that govern Pattern Recognition are illustrated and explained in a comprehensible way. Rather than presenting a complete overview over the rapidly evolving field, the book is to clarifies the concepts so that the reader can easily understand the underlying ideas and the rationale behind the methods. For this purpose, the mathematical treatment of Pattern Recognition is pushed so far that the mechanisms of action become clear and visible, but not farther. Therefore, not all derivations are driven into the last mathematical detail, as a mathematician would expect it. Ideas of proofs are presented instead of complete proofs. From the authors’ point of view, this concept allows to teach the essential ideas of Pattern Recognition with sufficient depth within a relatively lean book. Mathematical methods explained thoroughly. Extremely practical approach with many examples. Based on over ten years lecture at Karlsruhe Institute of Technology. For students but also for practitioners.
Book Synopsis Biomarkers in Psychiatry by : Judith Pratt
Download or read book Biomarkers in Psychiatry written by Judith Pratt and published by Springer. This book was released on 2019-01-05 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume addresses one of the Holy Grails in Psychiatry, namely the evidence for and potential to adopt ‘Biomarkers’ for prevention, diagnosis, and treatment responses in mental health conditions. It meshes together state of the art research from international renowned pre-clinical and clinical scientists to illustrate how the fields of anxiety disorders, depression, psychotic disorders, and autism spectrum disorder have advanced in recent years.
