Pattern Recognition Applications In Engineering

Author : Burgos, Diego Alexander Tibaduiza,Vejar, Maribel Anaya,Pozo, Francesc
Publisher : IGI Global
Page : 357 pages
File Size : 43,9 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 : K.S. Fu
Publisher : Springer Science & Business Media
Page : 278 pages
File Size : 51,5 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 : J.P. Marques de Sá
Publisher : Springer Science & Business Media
Page : 331 pages
File Size : 45,8 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 : L Koteswara Rao,Md. Zia Ur Rahman,P Rohini
Publisher : CRC Press
Page : 219 pages
File Size : 50,9 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 : Morton Nadler,Eric P. Smith
Publisher : Wiley-Interscience
Page : 618 pages
File Size : 41,8 Mb
Release : 1993-04-28
Category : Computers
ISBN : UOM:39015029845578

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Pattern Recognition Engineering by Morton Nadler,Eric P. Smith Pdf

Serves as an introduction to the field of pattern recognition through a unique parallel development of statistical and structural approaches. Emphasizes techniques that model aspects of human perception. Emphasizes real-time algorithmic approaches with attention to the hardware aspects. Features comprehensive and critical coverage of edge direction, state machine, nearest neighbor and iterative learning methods. Introduces elementary concepts of sequential machine theory as applied to structural pattern recognition. Contains an extensive bibliography.

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 52,7 Mb
Release : 19??
Category : Electronic
ISBN : 9535128043

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Pattern Recognition €“ Analysis and Applications by Anonim Pdf

Author : Mago, Vijay Kumar
Publisher : IGI Global
Page : 785 pages
File Size : 46,7 Mb
Release : 2011-12-31
Category : Computers
ISBN : 9781613504307

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Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies by Mago, Vijay Kumar Pdf

The need for intelligent machines in areas such as medical diagnostics, biometric security systems, and image processing motivates researchers to develop and explore new techniques, algorithms, and applications in this evolving field.Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies provides a common platform for researchers to present theoretical and applied research findings for enhancing and developing intelligent systems. Through its discussions of advances in and applications of pattern recognition technologies and artificial intelligence, this reference highlights core concepts in biometric imagery, feature recognition, and other related fields, along with their applicability.

Author : S. Ramakrishnan
Publisher : BoD – Books on Demand
Page : 137 pages
File Size : 49,5 Mb
Release : 2016-12-14
Category : Computers
ISBN : 9789535128038

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Pattern Recognition by S. Ramakrishnan Pdf

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.

Author : Larisa Angstenberger
Publisher : Springer Science & Business Media
Page : 303 pages
File Size : 49,5 Mb
Release : 2013-03-14
Category : Mathematics
ISBN : 9789401713122

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Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering by Larisa Angstenberger Pdf

Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering focuses on fuzzy clustering methods which have proven to be very powerful in pattern recognition and considers the entire process of dynamic pattern recognition. This book sets a general framework for Dynamic Pattern Recognition, describing in detail the monitoring process using fuzzy tools and the adaptation process in which the classifiers have to be adapted, using the observations of the dynamic process. It then focuses on the problem of a changing cluster structure (new clusters, merging of clusters, splitting of clusters and the detection of gradual changes in the cluster structure). Finally, the book integrates these parts into a complete algorithm for dynamic fuzzy classifier design and classification.

Author : Ana Fred,Maria De Marsico
Publisher : Springer
Page : 312 pages
File Size : 48,6 Mb
Release : 2014-11-30
Category : Computers
ISBN : 3319126113

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Pattern Recognition Applications and Methods by Ana Fred,Maria De Marsico Pdf

This book contains the extended and revised versions of a set of selected papers from the 2nd International Conference on Pattern Recognition (ICPRAM 2013), held in Barcelona, Spain, from 15 to 18 February, 2013. ICPRAM was organized by the Institute for Systems and Technologies of Information, Control and Communication (INSTICC) and was held in cooperation with the Association for the Advancement of Artificial Intelligence (AAAI). The hallmark of this conference was to encourage theory and practice to meet in a single venue. The focus of the book is on contributions describing 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 : Deepak Gupta,Rajat Subhra Goswami,Subhasish Banerjee,M. Tanveer,Ram Bilas Pachori
Publisher : Springer Nature
Page : 816 pages
File Size : 47,9 Mb
Release : 2022-09-01
Category : Technology & Engineering
ISBN : 9789811915208

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Pattern Recognition and Data Analysis with Applications by Deepak Gupta,Rajat Subhra Goswami,Subhasish Banerjee,M. Tanveer,Ram Bilas Pachori Pdf

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).

Author : Sergios Theodoridis,Konstantinos Koutroumbas
Publisher : Elsevier
Page : 689 pages
File Size : 45,6 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

Author : Rajjan Shinghal, Dr.
Publisher : OUP India
Page : 304 pages
File Size : 46,7 Mb
Release : 2006-03-02
Category : Technology & Engineering
ISBN : 0195676858

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Pattern Recognition by Rajjan Shinghal, Dr. Pdf

Pattern Recognition: Techniques and Applications introduces the concept of inductive learning and provides an exhaustive coverage of the procedures for Pattern Recognition. The book would serve as a textbook for senior undergraduate and master's engineering students. Written in a lucid and student-friendly style, the text encourages self-study and instils working knowledge of Pattern Recognition in a student.

Author : Patrick S. P. Wang
Publisher : Springer Science & Business Media
Page : 866 pages
File Size : 54,6 Mb
Release : 2012-02-13
Category : Computers
ISBN : 9783642224072

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Pattern Recognition, Machine Intelligence and Biometrics by Patrick S. P. Wang Pdf

"Pattern Recognition, Machine Intelligence and Biometrics" covers the most recent developments in Pattern Recognition and its applications, using artificial intelligence technologies within an increasingly critical field. It covers topics such as: image analysis and fingerprint recognition; facial expressions and emotions; handwriting and signatures; iris recognition; hand-palm gestures; and multimodal based research. The applications span many fields, from engineering, scientific studies and experiments, to biomedical and diagnostic applications, to personal identification and homeland security. In addition, computer modeling and simulations of human behaviors are addressed in this collection of 31 chapters by top-ranked professionals from all over the world in the field of PR/AI/Biometrics. The book is intended for researchers and graduate students in Computer and Information Science, and in Communication and Control Engineering. Dr. Patrick S. P. Wang is a Professor Emeritus at the College of Computer and Information Science, Northeastern University, USA, Zijiang Chair of ECNU, Shanghai, and NSC Visiting Chair Professor of NTUST, Taipei.

Author : Wu, Jiann-Ming,Tien, Chao-Yuan
Publisher : IGI Global
Page : 181 pages
File Size : 47,6 Mb
Release : 2020-04-17
Category : Computers
ISBN : 9781799815563

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MatConvNet Deep Learning and iOS Mobile App Design for Pattern Recognition: Emerging Research and Opportunities by Wu, Jiann-Ming,Tien, Chao-Yuan Pdf

Deep learning has become a trending area of research due to its adaptive characteristics and high levels of applicability. In recent years, researchers have begun applying deep learning strategies to image analysis and pattern recognition for solving technical issues within image classification. As these technologies continue to advance, professionals have begun translating this intelligent programming language into mobile applications for devices. Programmers and web developers are in need of significant research on how to successfully develop pattern recognition applications using intelligent programming. MatConvNet Deep Learning and iOS Mobile App Design for Pattern Recognition: Emerging Research and Opportunities is an essential reference source that presents a solution to developing intelligent pattern recognition Apps on iOS devices based on MatConvNet deep learning. Featuring research on topics such as medical image diagnosis, convolutional neural networks, and character classification, this book is ideally designed for programmers, developers, researchers, practitioners, engineers, academicians, students, scientists, and educators seeking coverage on the specific development of iOS mobile applications using pattern recognition strategies.