Pattern Recognition and Machine Learning

Pattern Recognition and Machine Learning
Author: Christopher M. Bishop
Publsiher: Springer Verlag
Total Pages: 738
Release: 2006-08-17
ISBN: 9780387310732
Category: Computers
Language: EN, FR, DE, ES & NL

Pattern Recognition and Machine Learning Book Excerpt:

This is the first text on pattern recognition to present the Bayesian viewpoint, one that has become increasing popular in the last five years. It presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It provides the first text to use graphical models to describe probability distributions when there are no other books that apply graphical models to machine learning. It is also the first four-color book on pattern recognition. The book is suitable for courses on machine learning, statistics, computer science, signal processing, computer vision, data mining, and bioinformatics. Extensive support is provided for course instructors, including more than 400 exercises, graded according to difficulty. Example solutions for a subset of the exercises are available from the book web site, while solutions for the remainder can be obtained by instructors from the publisher.

Pattern Recognition and Machine Learning

Pattern Recognition and Machine Learning
Author: King-Sun Fu
Publsiher: Springer Science & Business Media
Total Pages: 344
Release: 2012-12-06
ISBN: 1461575664
Category: Computers
Language: EN, FR, DE, ES & NL

Pattern Recognition and Machine Learning Book Excerpt:

This book contains the Proceedings of the US-Japan Seminar on Learning Process in Control Systems. The seminar, held in Nagoya, Japan, from August 18 to 20, 1970, was sponsored by the US-Japan Cooperative Science Program, jointly supported by the National Science Foundation and the Japan Society for the Promotion of Science. The full texts of all the presented papers except two t are included. The papers cover a great variety of topics related to learning processes and systems, ranging from pattern recognition to systems identification, from learning control to biological modelling. In order to reflect the actual content of the book, the present title was selected. All the twenty-eight papers are roughly divided into two parts--Pattern Recognition and System Identification and Learning Process and Learning Control. It is sometimes quite obvious that some papers can be classified into either part. The choice in these cases was strictly the editor's in order to keep a certain balance between the two parts. During the past decade there has been a considerable growth of interest in problems of pattern recognition and machine learn ing. In designing an optimal pattern recognition or control system, if all the a priori information about the process under study is known and can be described deterministically, the optimal system is usually designed by deterministic optimization techniques.

Pattern Recognition and Machine Learning

Pattern Recognition and Machine Learning
Author: Y. Anzai
Publsiher: Elsevier
Total Pages: 407
Release: 2012-12-02
ISBN: 0080513638
Category: Computers
Language: EN, FR, DE, ES & NL

Pattern Recognition and Machine Learning Book Excerpt:

This is the first text to provide a unified and self-contained introduction to visual pattern recognition and machine learning. It is useful as a general introduction to artifical intelligence and knowledge engineering, and no previous knowledge of pattern recognition or machine learning is necessary. Basic for various pattern recognition and machine learning methods. Translated from Japanese, the book also features chapter exercises, keywords, and summaries.

Fundamentals of Pattern Recognition and Machine Learning

Fundamentals of Pattern Recognition and Machine Learning
Author: Ulisses Braga-Neto
Publsiher: Springer Nature
Total Pages: 357
Release: 2020-09-10
ISBN: 3030276562
Category: Computers
Language: EN, FR, DE, ES & NL

Fundamentals of Pattern Recognition and Machine Learning Book Excerpt:

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.

Machine Learning and Data Mining in Pattern Recognition

Machine Learning and Data Mining in Pattern Recognition
Author: Petra Perner
Publsiher: Springer Science & Business Media
Total Pages: 824
Release: 2009-07-21
ISBN: 364203070X
Category: Computers
Language: EN, FR, DE, ES & NL

Machine Learning and Data Mining in Pattern Recognition Book Excerpt:

There is no royal road to science, and only those who do not dread the fatiguing climb of its steep paths have a chance of gaining its luminous summits. Karl Marx A Universial Genius of the 19th Century Many scientists from all over the world during the past two years since the MLDM 2007 have come along on the stony way to the sunny summit of science and have worked hard on new ideas and applications in the area of data mining in pattern r- ognition. Our thanks go to all those who took part in this year's MLDM. We appre- ate their submissions and the ideas shared with the Program Committee. We received over 205 submissions from all over the world to the International Conference on - chine Learning and Data Mining, MLDM 2009. The Program Committee carefully selected the best papers for this year’s program and gave detailed comments on each submitted paper. There were 63 papers selected for oral presentation and 17 papers for poster presentation. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data-mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining. Among these topics this year were special contributions to subtopics such as attribute discre- zation and data preparation, novelty and outlier detection, and distances and simila- ties.

Introduction to Pattern Recognition and Machine Learning

Introduction to Pattern Recognition and Machine Learning
Author: M Narasimha Murty,V Susheela Devi
Publsiher: World Scientific
Total Pages: 404
Release: 2015-04-22
ISBN: 9814656275
Category: Computers
Language: EN, FR, DE, ES & NL

Introduction to Pattern Recognition and Machine Learning Book Excerpt:

This book adopts a detailed and methodological algorithmic approach to explain the concepts of pattern recognition. While the text provides a systematic account of its major topics such as pattern representation and nearest neighbour based classifiers, current topics — neural networks, support vector machines and decision trees — attributed to the recent vast progress in this field are also dealt with. Introduction to Pattern Recognition and Machine Learning will equip readers, especially senior computer science undergraduates, with a deeper understanding of the subject matter. Contents:IntroductionTypes of DataFeature Extraction and Feature SelectionBayesian LearningClassificationClassification Using Soft Computing TechniquesData ClusteringSoft ClusteringApplication — Social and Information Networks Readership: Academics and working professionals in computer science. Key Features:The algorithmic approach taken and the practical issues dealt with will aid the reader in writing programs and implementing methodsCovers recent and advanced topics by providing working exercises, examples and illustrations in each chapterProvides the reader with a deeper understanding of the subject matterKeywords:Clustering;Classification;Supervised Learning;Soft Computing

Pattern Recognition and Machine Learning by Christopher M Bishop

Pattern Recognition and Machine Learning by Christopher M  Bishop
Author: Christopher M. Bishop
Publsiher: Unknown
Total Pages: 738
Release: 2006
ISBN: 1928374650XXX
Category: Machine learning
Language: EN, FR, DE, ES & NL

Pattern Recognition and Machine Learning by Christopher M Bishop Book Excerpt:

Pattern Recognition and Machine Intelligence

Pattern Recognition and Machine Intelligence
Author: Rajat K. De
Publsiher: Springer Science & Business Media
Total Pages: 677
Release: 2007-11-29
ISBN: 3540770453
Category: Computers
Language: EN, FR, DE, ES & NL

Pattern Recognition and Machine Intelligence Book Excerpt:

This book constitutes the refereed proceedings of the Second International Conference on Pattern Recognition and Machine Intelligence, PReMI 2007, held in Kolkata, India in December 2007. The 82 revised papers presented were carefully reviewed and selected from 241 submissions. The papers are organized in topical sections on pattern recognition, image analysis, soft computing and applications, data mining and knowledge discovery, bioinformatics, signal and speech processing, document analysis and text mining, biometrics, and video analysis.

Pattern Recognition and Machine Learning

Pattern Recognition and Machine Learning
Author: Christopher M. Bishop
Publsiher: Unknown
Total Pages: 738
Release: 2013
ISBN: 9788132209065
Category: Machine learning
Language: EN, FR, DE, ES & NL

Pattern Recognition and Machine Learning Book Excerpt:

The field of pattern recognition has undergone substantial development over the years. This book reflects these developments while providing a grounding in the basic concepts of pattern recognition and machine learning. It is aimed at advanced undergraduates or first year PhD students, as well as researchers and practitioners.

Pattern Recognition and Machine Intelligence

Pattern Recognition and Machine Intelligence
Author: Sergei O. Kuznetsov,Deba P. Mandal,Malay K. Kundu,Sankar Kumar Pal
Publsiher: Springer
Total Pages: 467
Release: 2011-06-25
ISBN: 3642217869
Category: Computers
Language: EN, FR, DE, ES & NL

Pattern Recognition and Machine Intelligence Book Excerpt:

This book constitutes the refereed proceedings of the 4th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2011, held in Moscow, Russia in June/July 2011. The 65 revised papers presented together with 5 invited talks were carefully reviewed and selected from 140 submissions. The papers are organized in topical sections on pattern recognition and machine learning; image analysis; image and video information retrieval; natural language processing and text and data mining; watermarking, steganography and biometrics; soft computing and applications; clustering and network analysis; bio and chemo analysis; and document image processing.

Pattern Recognition and Classification

Pattern Recognition and Classification
Author: Geoff Dougherty
Publsiher: Springer Science & Business Media
Total Pages: 196
Release: 2012-10-28
ISBN: 1461453232
Category: Computers
Language: EN, FR, DE, ES & NL

Pattern Recognition and Classification Book Excerpt:

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.

Pattern Recognition and Machine Intelligence

Pattern Recognition and Machine Intelligence
Author: Bhabesh Deka,Pradipta Maji,Sushmita Mitra,Dhruba Kumar Bhattacharyya,Prabin Kumar Bora,Sankar Kumar Pal
Publsiher: Springer Nature
Total Pages: 583
Release: 2019-11-25
ISBN: 3030348725
Category: Computers
Language: EN, FR, DE, ES & NL

Pattern Recognition and Machine Intelligence Book Excerpt:

The two-volume set of LNCS 11941 and 11942 constitutes the refereed proceedings of the 8th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2019, held in Tezpur, India, in December 2019. The 131 revised full papers presented were carefully reviewed and selected from 341 submissions. They are organized in topical sections named: Pattern Recognition; Machine Learning; Deep Learning; Soft and Evolutionary Computing; Image Processing; Medical Image Processing; Bioinformatics and Biomedical Signal Processing; Information Retrieval; Remote Sensing; Signal and Video Processing; and Smart and Intelligent Sensors.

Machine Learning and Data Mining in Pattern Recognition

Machine Learning and Data Mining in Pattern Recognition
Author: Petra Perner,Azriel Rosenfeld
Publsiher: Springer Science & Business Media
Total Pages: 444
Release: 2003-06-25
ISBN: 3540405046
Category: Computers
Language: EN, FR, DE, ES & NL

Machine Learning and Data Mining in Pattern Recognition Book Excerpt:

TheInternationalConferenceonMachineLearningandDataMining(MLDM)is the third meeting in a series of biennial events, which started in 1999, organized by the Institute of Computer Vision and Applied Computer Sciences (IBaI) in Leipzig. MLDM began as a workshop and is now a conference, and has brought the topic of machine learning and data mining to the attention of the research community. Seventy-?ve papers were submitted to the conference this year. The program committeeworkedhardtoselectthemostprogressiveresearchinafairandc- petent review process which led to the acceptance of 33 papers for presentation at the conference. The 33 papers in these proceedings cover a wide variety of topics related to machine learning and data mining. The two invited talks deal with learning in case-based reasoning and with mining for structural data. The contributed papers can be grouped into nine areas: support vector machines; pattern dis- very; decision trees; clustering; classi?cation and retrieval; case-based reasoning; Bayesian models and methods; association rules; and applications. We would like to express our appreciation to the reviewers for their precise andhighlyprofessionalwork.WearegratefultotheGermanScienceFoundation for its support of the Eastern European researchers. We appreciate the help and understanding of the editorial sta? at Springer Verlag, and in particular Alfred Hofmann,whosupportedthepublicationoftheseproceedingsintheLNAIseries. Last, but not least, we wish to thank all the speakers and participants who contributed to the success of the conference.

Pattern Recognition and Machine Intelligence

Pattern Recognition and Machine Intelligence
Author: Sanghamitra Bandyopadhyay
Publsiher: Springer Science & Business Media
Total Pages: 808
Release: 2005-12-09
ISBN: 3540305068
Category: Computers
Language: EN, FR, DE, ES & NL

Pattern Recognition and Machine Intelligence Book Excerpt:

This book constitutes the refereed proceedings of the First International Conference on Pattern Recognition and Machine Intelligence, PReMI 2005, held in Kolkata, India in December 2005. The 108 revised papers presented together with 6 keynote talks and 14 invited papers were carefully reviewed and selected from 250 submissions. The papers are organized in topical sections on clustering, feature selection and learning, classification, neural networks and applications, fuzzy logic and applications, optimization and representation, image processing and analysis, video processing and computer vision, image retrieval and data mining, bioinformatics application, Web intelligence and genetic algorithms, as well as rough sets, case-based reasoning and knowledge discovery.

Machine Learning in Image Analysis and Pattern Recognition

Machine Learning in Image Analysis and Pattern Recognition
Author: Munish Kumar , R. K. Sharma,Ishwar Sethi
Publsiher: MDPI
Total Pages: 112
Release: 2021-09-08
ISBN: 3036517146
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Machine Learning in Image Analysis and Pattern Recognition Book Excerpt:

This book is to chart the progress in applying machine learning, including deep learning, to a broad range of image analysis and pattern recognition problems and applications. In this book, we have assembled original research articles making unique contributions to the theory, methodology and applications of machine learning in image analysis and pattern recognition.

Essentials of Pattern Recognition

Essentials of Pattern Recognition
Author: Jianxin Wu
Publsiher: Cambridge University Press
Total Pages: 135
Release: 2020-11-30
ISBN: 1108680828
Category: Computers
Language: EN, FR, DE, ES & NL

Essentials of Pattern Recognition Book Excerpt:

This textbook introduces fundamental concepts, major models, and popular applications of pattern recognition for a one-semester undergraduate course. To ensure student understanding, the text focuses on a relatively small number of core concepts with an abundance of illustrations and examples. Concepts are reinforced with hands-on exercises to nurture the student's skill in problem solving. New concepts and algorithms are framed by real-world context and established as part of the big picture introduced in an early chapter. A problem-solving strategy is employed in several chapters to equip students with an approach for new problems in pattern recognition. This text also points out common errors that a new player in pattern recognition may encounter, and fosters the ability for readers to find useful resources and independently solve a new pattern recognition task through various working examples. Students with an undergraduate understanding of mathematical analysis, linear algebra, and probability will be well prepared to master the concepts and mathematical analysis presented here.

Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering

Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering
Author: Larisa Angstenberger
Publsiher: Springer Science & Business Media
Total Pages: 287
Release: 2001-10-31
ISBN: 9780792375036
Category: Computers
Language: EN, FR, DE, ES & NL

Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering Book Excerpt:

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.

Pattern Recognition and Machine Learning

Pattern Recognition and Machine Learning
Author: King-Sun Fu
Publsiher: Springer
Total Pages: 370
Release: 1971-07
ISBN: 1928374650XXX
Category: Computers
Language: EN, FR, DE, ES & NL

Pattern Recognition and Machine Learning Book Excerpt:

This book contains the Proceedings of the US-Japan Seminar on Learning Process in Control Systems. The seminar, held in Nagoya, Japan, from August 18 to 20, 1970, was sponsored by the US-Japan Cooperative Science Program, jointly supported by the National Science Foundation and the Japan Society for the Promotion of Science. The full texts of all the presented papers except two t are included. The papers cover a great variety of topics related to learning processes and systems, ranging from pattern recognition to systems identification, from learning control to biological modelling. In order to reflect the actual content of the book, the present title was selected. All the twenty-eight papers are roughly divided into two parts--Pattern Recognition and System Identification and Learning Process and Learning Control. It is sometimes quite obvious that some papers can be classified into either part. The choice in these cases was strictly the editor's in order to keep a certain balance between the two parts. During the past decade there has been a considerable growth of interest in problems of pattern recognition and machine learn ing. In designing an optimal pattern recognition or control system, if all the a priori information about the process under study is known and can be described deterministically, the optimal system is usually designed by deterministic optimization techniques.

Pattern Recognition and Machine Learning

Pattern Recognition and Machine Learning
Author: Anonim
Publsiher: Unknown
Total Pages: 365
Release: 2018-05
ISBN: 9781642241525
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Pattern Recognition and Machine Learning Book Excerpt:

Pattern recognition is persistent to be one of the imperative research fields in computer science and electrical engineering. Plenty of new applications are rising, and consequently pattern analysis and synthesis turn into significant subfields in pattern recognition. In these days, giving a computer to carry out any task involve a set of specific instructions or the accomplishment of an algorithm that defines the rules that need to be followed. The present day computer system has no ability to learn from past experiences and hence cannot readily recover on the basis of past mistakes. Subsequently, giving a computer or instructing a computer controlled program to execute a task entail one to define an absolute and accurate algorithm for task and then program the algorithm into the computer. Research in machine learning is now converging from several sources and from artificial intelligent field.This book as the name suggests Pattern Recognition and Machine Learning is packed with the benefits of machine learning and pattern recognition techniques and research in machine learning. The book covers chapters that aim to realize the future abilities by presenting a variety of integrated research in various scientific and engineering fields such as perception, adaptive behavior, human-robot interaction, neuroscience and machine learning. The book is designed to be accessible and practical, with an emphasis on useful information to those working in the fields of robotics, cognitive science, artificial intelligence, computational methods and also will be of helpful for graduate students, researchers, and practicing engineers working in the field of machine vision and computer science and engineering.

Essentials of Pattern Recognition

Essentials of Pattern Recognition
Author: Jianxin Wu
Publsiher: Cambridge University Press
Total Pages: 401
Release: 2020-11-19
ISBN: 1108483461
Category: Computers
Language: EN, FR, DE, ES & NL

Essentials of Pattern Recognition Book Excerpt:

An accessible undergraduate introduction to the concepts and methods in pattern recognition, machine learning and deep learning.