Topics In Applied Pattern Recognition

Topics In Applied Pattern Recognition Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Topics In Applied Pattern Recognition book. This book definitely worth reading, it is an incredibly well-written.

Advances In Pattern Recognition And Artificial Intelligence

Marleah Blom,Nicola Nobile,Ching Yee Suen
Advances In Pattern Recognition And Artificial Intelligence Book PDF

Author : Marleah Blom,Nicola Nobile,Ching Yee Suen
Publisher : World Scientific
Page : 277 pages
File Size : 51,5 Mb
Release : 2021-11-16
Category : Computers
ISBN : 9789811239021

Get Book

Advances In Pattern Recognition And Artificial Intelligence by Marleah Blom,Nicola Nobile,Ching Yee Suen Pdf

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.

Pattern Recognition and Classification

Geoff Dougherty
Pattern Recognition and Classification Book PDF

Author : Geoff Dougherty
Publisher : Springer Science & Business Media
Page : 203 pages
File Size : 44,5 Mb
Release : 2012-10-28
Category : Computers
ISBN : 9781461453239

Get Book

Pattern Recognition and Classification by Geoff Dougherty Pdf

The use of pattern recognition and classification is fundamental to many of the automated electronic systems in use today. However, despite the existence of a number of notable books in the field, the subject remains very challenging, especially for the beginner. Pattern Recognition and Classification presents a comprehensive introduction to the core concepts involved in automated pattern recognition. It is designed to be accessible to newcomers from varied backgrounds, but it will also be useful to researchers and professionals in image and signal processing and analysis, and in computer vision. Fundamental concepts of supervised and unsupervised classification are presented in an informal, rather than axiomatic, treatment so that the reader can quickly acquire the necessary background for applying the concepts to real problems. More advanced topics, such as semi-supervised classification, combining clustering algorithms and relevance feedback are addressed in the later chapters. This book is suitable for undergraduates and graduates studying pattern recognition and machine learning.

Frontiersinpatternrecognitionandartificialintelligence

Blom Marleah,Nobile Nicola,Suen Ching Yee
Frontiersinpatternrecognitionandartificialintelligence Book PDF

Author : Blom Marleah,Nobile Nicola,Suen Ching Yee
Publisher : World Scientific
Page : 300 pages
File Size : 43,8 Mb
Release : 2019-06-17
Category : Computers
ISBN : 9789811203534

Get Book

Frontiersinpatternrecognitionandartificialintelligence by Blom Marleah,Nobile Nicola,Suen Ching Yee Pdf

The fifth volume in this book series consists of a collection of new papers written by a diverse group of international scholars. Papers and presentations were carefully selected from 160 papers submitted to the International Conference on Pattern Recognition and Artificial Intelligence held in Montreal, Quebec (May 2018) and an associated free public lecture entitled 'Artificial Intelligence and Pattern Recognition: Trendy Technologies in Our Modern Digital World'. Chapters address topics such as the evolution of AI, natural language processing, off and on-line handwriting analysis, tracking and detection systems, neural networks, rating video games, computer-aided diagnosis, and digital learning.Within an increasingly digital world, 'artificial intelligence' is becoming a household term and a topic of great interest to many people worldwide. Pattern recognition, in using key features to classify data, has a strong relationship with artificial intelligence. This book not only complements other monographs in the series, it also provides the latest information. It is geared to promote interest and understanding about pattern recognition and artificial intelligence to the general public. It may also be of interest to graduate students and researchers in the field. Rather than focusing on one specific area, the book introduces readers to various basic concepts and to various potential areas where pattern recognition and artificial intelligence can be applied to make valuable contributions to other fields such as medicine, teaching and learning, forensic science, surveillance, online reviews, computer vision and object tracking.

Frontiers of Pattern Recognition

Satosi Watanabe
Frontiers of Pattern Recognition Book PDF

Author : Satosi Watanabe
Publisher : Academic Press
Page : 617 pages
File Size : 44,5 Mb
Release : 2014-05-10
Category : Mathematics
ISBN : 9781483268941

Get Book

Frontiers of Pattern Recognition by Satosi Watanabe Pdf

Frontiers of Pattern Recognition contains the proceedings of the International Conference on Frontiers of Pattern Recognition which took place on January 18-20, 1971, at the University of Hawaii, Honolulu. The compendium consists of 30 papers from authorities from eleven different countries, which describe the frontiers of pattern recognition as viewed from diverse viewpoints. Topics discussed include some techniques for recognizing structures in pictures, grammatical inference, syntactic pattern recognition and stochastic languages, and pattern cognition and the organization of information. Also covered are subjects on human face recognition, cluster analysis, and learning algorithms of pattern recognition in non-stationary conditions. Computer scientists, mathematicians, statisticians, linguists, and psychologists will find the book informative.

Pattern Recognition Techniques Applied to Biomedical Problems

Martha Refugio Ortiz-Posadas
Pattern Recognition Techniques Applied to Biomedical Problems Book PDF

Author : Martha Refugio Ortiz-Posadas
Publisher : Springer Nature
Page : 227 pages
File Size : 41,5 Mb
Release : 2020-02-29
Category : Mathematics
ISBN : 9783030380212

Get Book

Pattern Recognition Techniques Applied to Biomedical Problems by Martha Refugio Ortiz-Posadas Pdf

This book covers pattern recognition techniques applied to various areas of biomedicine, including disease diagnosis and prognosis, and several problems of classification, with a special focus on—but not limited to—pattern recognition modeling of biomedical signals and images. Multidisciplinary by definition, the book’s topic blends computing, mathematics and other technical sciences towards the development of computational tools and methodologies that can be applied to pattern recognition processes. In this work, the efficacy of such methods and techniques for processing medical information is analyzed and compared, and auxiliary criteria for determining the correct diagnosis and treatment strategies are recommended and applied. Researchers in applied mathematics, the computer sciences, engineering and related fields with a focus on medical applications will benefit from this book, as well as professionals with a special interest in state-of-the-art pattern recognition techniques as applied to biomedicine.

Pattern Recognition with Support Vector Machines

Seong-Whan Lee,Alessandro Verri
Pattern Recognition with Support Vector Machines Book PDF

Author : Seong-Whan Lee,Alessandro Verri
Publisher : Springer
Page : 428 pages
File Size : 52,7 Mb
Release : 2003-08-02
Category : Computers
ISBN : 9783540456650

Get Book

Pattern Recognition with Support Vector Machines by Seong-Whan Lee,Alessandro Verri Pdf

This book constitutes the refereed proceedings of the First International Workshop on Pattern Recognition with Support Vector Machines, SVM 2002, held in Niagara Falls, Canada in August 2002.The 16 revised full papers and 14 poster papers presented together with two invited contributions were carefully reviewed and selected from 57 full paper submissions. The papers presented span the whole range of topics in pattern recognition with support vector machines from computational theories to implementations and applications.

Pattern Recognition and Artificial Intelligence

C.H. Chen
Pattern Recognition and Artificial Intelligence Book PDF

Author : C.H. Chen
Publisher : Elsevier
Page : 632 pages
File Size : 48,9 Mb
Release : 2013-12-11
Category : Technology & Engineering
ISBN : 9780323144209

Get Book

Pattern Recognition and Artificial Intelligence by C.H. Chen Pdf

Pattern Recognition and Artificial Intelligence contains the proceedings of the Joint Workshop on Pattern Recognition and Artificial Intelligence held in Hyannis, Massachusetts, on June 1-3, 1976. The papers explore developments in pattern recognition and artificial intelligence and cover topics ranging from scene analysis and data structure to syntactic methods, biomedicine, speech recognition, game-playing programs, and computer graphics. Grammar inference methods, image segmentation and interpretation, and relational databases are also discussed. This book is comprised of 29 chapters and begins with a description of a data structure that can learn simple programs from training samples. The reader is then introduced to the syntactic parts of pattern recognition systems; methods for multidimensional grammatical inference; a scene analysis system capable of finding structure in outdoor scenes; and a language called DEDUCE for relational databases. A sculptor's studio-like environment, in which the ""sculptor"" can create complex three-dimensional objects in the computer similar to molding a piece of clay in the machine, is also described. The remaining chapters focus on statistical and structural feature extraction; use of maximum likelihood functions for recognition of highly variable line drawings; region extraction using boundary following; and interactive screening of reconnaissance imagery. This monograph will be of interest to engineers, graduate students, and researchers in the fields of pattern recognition and artificial intelligence.

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

César San Martin,Sang-Woon Kim
Progress in Pattern Recognition Image Analysis Computer Vision and Applications Book PDF

Author : César San Martin,Sang-Woon Kim
Publisher : Springer
Page : 721 pages
File Size : 49,9 Mb
Release : 2011-11-12
Category : Computers
ISBN : 9783642250859

Get Book

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications by César San Martin,Sang-Woon Kim Pdf

This book constitutes the refereed proceedings of the 16th Iberoamerican Congress on Pattern Recognition, CIARP 2011, held in Pucón, Chile, in November 2011. The 81 revised full papers presented together with 3 keynotes were carefully reviewed and selected from numerous submissions. Topics of interest covered are image processing, restoration and segmentation; computer vision; clustering and artificial intelligence; pattern recognition and classification; applications of pattern recognition; and Chilean Workshop on Pattern Recognition.

Machine Learning and Data Mining in Pattern Recognition

Petra Perner
Machine Learning and Data Mining in Pattern Recognition Book PDF

Author : Petra Perner
Publisher : Springer Science & Business Media
Page : 927 pages
File Size : 45,8 Mb
Release : 2007-07-16
Category : Computers
ISBN : 9783540734987

Get Book

Machine Learning and Data Mining in Pattern Recognition by Petra Perner Pdf

Ever wondered what the state of the art is in machine learning and data mining? Well, now you can find out. This book constitutes the refereed proceedings of the 5th International Conference on Machine Learning and Data Mining in Pattern Recognition, held in Leipzig, Germany, in July 2007. The 66 revised full papers presented together with 1 invited talk were carefully reviewed and selected from more than 250 submissions. The papers are organized in topical sections.

Applied Pattern Recognition

Horst Bunke,Abraham Kandel,Mark Last
Applied Pattern Recognition Book PDF

Author : Horst Bunke,Abraham Kandel,Mark Last
Publisher : Springer
Page : 246 pages
File Size : 42,5 Mb
Release : 2008-02-28
Category : Technology & Engineering
ISBN : 9783540768319

Get Book

Applied Pattern Recognition by Horst Bunke,Abraham Kandel,Mark Last Pdf

A sharp increase in the computing power of modern computers has triggered the development of powerful algorithms that can analyze complex patterns in large amounts of data within a short time period. Consequently, it has become possible to apply pattern recognition techniques to new tasks. The main goal of this book is to cover some of the latest application domains of pattern recognition while presenting novel techniques that have been developed or customized in those domains.

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Ruben Vera-Rodriguez,Julian Fierrez,Aythami Morales
Progress in Pattern Recognition Image Analysis Computer Vision and Applications Book PDF

Author : Ruben Vera-Rodriguez,Julian Fierrez,Aythami Morales
Publisher : Springer
Page : 1001 pages
File Size : 52,8 Mb
Release : 2019-03-02
Category : Computers
ISBN : 9783030134693

Get Book

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications by Ruben Vera-Rodriguez,Julian Fierrez,Aythami Morales Pdf

This book constitutes the refereed post-conference proceedings of the 23rd Iberoamerican Congress on Pattern Recognition, CIARP 2018, held in Madrid, Spain, in November 2018 The 112 papers presented were carefully reviewed and selected from 187 submissions The program was comprised of 6 oral sessions on the following topics: machine learning, computer vision, classification, biometrics and medical applications, and brain signals, and also on: text and character analysis, human interaction, and sentiment analysis

Studies in Pattern Recognition

H Freeman
Studies in Pattern Recognition Book PDF

Author : H Freeman
Publisher : World Scientific
Page : 232 pages
File Size : 46,5 Mb
Release : 1997-02-03
Category : Computers
ISBN : 9789814498388

Get Book

Studies in Pattern Recognition by H Freeman Pdf

More than ten years have passed since the untimely death of King-Sun Fu, one of the great pioneers in the field of pattern recognition. It was he, more than any other single individual, who nurtured the field during its formative years, and set the tone and tempo for others to follow. This book is dedicated to his memory. This book contains 11 chapters by authors who knew King-Sun Fu and in varying degrees interacted with him. The articles span the field of pattern recognition in its current state, and cover such diverse topics as neural nets, covariance propagation, genetic selection, shape description, characteristic views for 3D modeling, face recognition, speech recognition, and machine translation. In tone they vary from the highly theoretical to the applied. Their presentation here is a testimonial, by his former colleagues and friends, to the pioneer who did so much to bring pattern recognition to its position as a recognized discipline world-wide. Contents:Pattern Category Assignment by Neural Networks and Nearest Neighbors Rule: A Synopsis and a Characterization (A Mitiche & J K Aggarwal)Pattern Recognition: An Approach to Turn Machine Translation Concepts into Creation and Reality (J T Tou)Learning in Navigation: Goal Finding in Graphs (P Cucka et al.)Subset Least Squares Method for Robust Speech and Image Processing (R L Kashyap & J-N Liaw)Shape Recognition by Human-Like Trial and Error Random Processes (M Nagao)3-D Face Modeling and Its Applications (T S Huang & L-A Tang)Dimension Reduction, Feature Extraction and Interpretation of Data with Network Computing (Y-H Pao)Characteristic-View Modeling of Curved-Surface Solids (S Chen & H Freeman)Propagating Covariance in Computer Vision (R M Haralick)Shape Description by a Syntactic Pyramidal Approach (S Levialdi & L Cinque)Genetic Selection and Neural Modeling of Piecewise Linear-Classifiers (J Sklansky & M Vriesenga) Readership: Computer scientists. keywords:

Fundamentals of Pattern Recognition and Machine Learning

Ulisses Braga-Neto
Fundamentals of Pattern Recognition and Machine Learning Book PDF

Author : Ulisses Braga-Neto
Publisher : Springer Nature
Page : 357 pages
File Size : 54,9 Mb
Release : 2020-09-10
Category : Computers
ISBN : 9783030276560

Get Book

Fundamentals of Pattern Recognition and Machine Learning by Ulisses Braga-Neto Pdf

Fundamentals of Pattern Recognition and Machine Learning is designed for a one or two-semester introductory course in Pattern Recognition or Machine Learning at the graduate or advanced undergraduate level. The book combines theory and practice and is suitable to the classroom and self-study. It has grown out of lecture notes and assignments that the author has developed while teaching classes on this topic for the past 13 years at Texas A&M University. The book is intended to be concise but thorough. It does not attempt an encyclopedic approach, but covers in significant detail the tools commonly used in pattern recognition and machine learning, including classification, dimensionality reduction, regression, and clustering, as well as recent popular topics such as Gaussian process regression and convolutional neural networks. In addition, the selection of topics has a few features that are unique among comparable texts: it contains an extensive chapter on classifier error estimation, as well as sections on Bayesian classification, Bayesian error estimation, separate sampling, and rank-based classification. The book is mathematically rigorous and covers the classical theorems in the area. Nevertheless, an effort is made in the book to strike a balance between theory and practice. In particular, examples with datasets from applications in bioinformatics and materials informatics are used throughout to illustrate the theory. These datasets are available from the book website to be used in end-of-chapter coding assignments based on python and scikit-learn. All plots in the text were generated using python scripts, which are also available on the book website.

Introduction to Pattern Recognition

Menahem Friedman,Abraham Kandel
Introduction to Pattern Recognition Book PDF

Author : Menahem Friedman,Abraham Kandel
Publisher : World Scientific Publishing Company
Page : 344 pages
File Size : 46,9 Mb
Release : 1999-03-01
Category : Computers
ISBN : 9789813105188

Get Book

Introduction to Pattern Recognition by Menahem Friedman,Abraham Kandel Pdf

This book is an introduction to pattern recognition, meant for undergraduate and graduate students in computer science and related fields in science and technology. Most of the topics are accompanied by detailed algorithms and real world applications. In addition to statistical and structural approaches, novel topics such as fuzzy pattern recognition and pattern recognition via neural networks are also reviewed. Each topic is followed by several examples solved in detail. The only prerequisites for using this book are a one-semester course in discrete mathematics and a knowledge of the basic preliminaries of calculus, linear algebra and probability theory.

Orthogonal Image Moments for Human-Centric Visual Pattern Recognition

S. M. Mahbubur Rahman,Tamanna Howlader,Dimitrios Hatzinakos
Orthogonal Image Moments for Human Centric Visual Pattern Recognition Book PDF

Author : S. M. Mahbubur Rahman,Tamanna Howlader,Dimitrios Hatzinakos
Publisher : Springer Nature
Page : 149 pages
File Size : 44,7 Mb
Release : 2019-10-11
Category : Computers
ISBN : 9789813299450

Get Book

Orthogonal Image Moments for Human-Centric Visual Pattern Recognition by S. M. Mahbubur Rahman,Tamanna Howlader,Dimitrios Hatzinakos Pdf

Instead of focusing on the mathematical properties of moments, this book is a compendium of research that demonstrates the effectiveness of orthogonal moment-based features in face recognition, expression recognition, fingerprint recognition and iris recognition. The usefulness of moments and their invariants in pattern recognition is well known. What is less well known is how orthogonal moments may be applied to specific problems in human-centric visual pattern recognition. Unlike previous books, this work highlights the fundamental issues involved in moment-based pattern recognition, from the selection of discriminative features in a high-dimensional setting, to addressing the question of how to classify a large number of patterns based on small training samples. In addition to offering new concepts that illustrate the use of statistical methods in addressing some of these issues, the book presents recent results and provides guidance on implementing the methods. Accordingly, it will be of interest to researchers and graduate students working in the broad areas of computer vision and visual pattern recognition.