Essentials Of Pattern Recognition
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Essentials Of Pattern Recognition
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Author : Jianxin Wu
language : en
Publisher: Cambridge University Press
Release Date : 2020-11-19
Essentials Of Pattern Recognition written by Jianxin Wu and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-19 with Computers categories.
An accessible undergraduate introduction to the concepts and methods in pattern recognition, machine learning and deep learning.
Pattern Recognition
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Author : Jürgen Beyerer
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2017-12-04
Pattern Recognition written by Jürgen Beyerer and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-04 with Computers categories.
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
Pattern Recognition Using Neural And Functional Networks
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Author : Vasantha Kalyani David
language : en
Publisher: Springer
Release Date : 2010-11-16
Pattern Recognition Using Neural And Functional Networks written by Vasantha Kalyani David and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-16 with Mathematics categories.
The concept of pattern is universal in intelligence. This book recounts recent progress in pattern recognition using neural networks and functional networks, including wavelet transforms in the context of handwritten characters, gestures and signatures.
Pattern Recognition
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Author : Jürgen Beyerer
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2024-04-01
Pattern Recognition written by Jürgen Beyerer and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-01 with Computers categories.
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.
Pattern Recognition
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Author : J. P. Marques de Sá
language : en
Publisher: Springer Science & Business Media
Release Date : 2001
Pattern Recognition written by J. P. Marques de Sá and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computer simulation categories.
CD-ROM contains: Datasets -- Software tools.
Handbook Of Pattern Recognition And Computer Vision
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Author : Patrick S P Wang
language : en
Publisher: World Scientific
Release Date : 1993-08-31
Handbook Of Pattern Recognition And Computer Vision written by Patrick S P Wang and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-08-31 with Computers categories.
Pattern recognition and computer vision and their applications have experienced enormous progress in research and development over the last two decades. This comprehensive handbook, with chapters by leading experts in their fields, documents both the basics and new and advanced results.The book gives the most total treatment of basic methods in pattern recognition including statistical, neurocomputing, syntactic/structural/grammatical approaches, feature selection and cluster analysis; and an extensive presentation of basic methods in computer vision including texture analysis and models, color, geometrical tools, image sequence analysis, etc. Major and unique applications are also covered, such as food handling using computer vision, non-destructive evaluation of materials, applications in economics and business, medical image recognition and understanding, etc. Broader system aspects are also examined, including optical pattern recognition and architectures for computer vision.Researchers, students and users of pattern recognition and computer vision will find the book an essential reference tool. The volume is also an invaluable collection of basic techniques and principles, which would otherwise be hard to assemble, in one convenient volume.
Error Estimation For Pattern Recognition
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Author : Ulisses M. Braga Neto
language : en
Publisher:
Release Date : 2015
Error Estimation For Pattern Recognition written by Ulisses M. Braga Neto and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with COMPUTERS categories.
This book is the first of its kind to discuss error estimation with a model-based approach. From the basics of classifiers and error estimators to more specialized classifiers, it covers important topics and essential issues pertaining to the scientific validity of pattern classification. Includes the latest results on accuracy of error estimation Analyzes the performance of cross-validation and bootstrap error estimators using simulation and model-based approaches End-of-chapter exercises Highly interactive computer-based exercises.
Pattern Recognition And Machine Learning
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Author : Christopher M. Bishop
language : en
Publisher:
Release Date : 2023
Pattern Recognition And Machine Learning written by Christopher M. Bishop and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.
Pattern Recognition
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Author : Syed Thouheed Ahmed
language : en
Publisher: MileStone Research Publications
Release Date : 2021-08-01
Pattern Recognition written by Syed Thouheed Ahmed and has been published by MileStone Research Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-01 with Technology & Engineering categories.
This book covers the primary and supportive topics on pattern recognition with respect to beginners understand-ability. The aspects of pattern recognition is value added with an introductory of machine learning terminologies. This book covers the aspects of pattern validation, recognition, computation and processing. The initial aspects such as data representation and feature extraction is reported with supportive topics such as computational algorithms and decision trees. This text book covers the aspects as reported. Par t - I In this part, the initial foundation aspects of pattern recognition is discussed with reference to probabilities role in influencing a pattern occurrence, pattern extraction and properties. Introduction: Definition of Pattern Recognition, Applications, Datasets for Pattern Recognition, Different paradigms for Pattern Recognition, Introduction to probability, events, random variables, Joint distributions and densities, moments. Estimation minimum risk estimators, problems. Representation: Data structures for Pattern Recognition, Representation of clusters, proximity measures, size of patterns, Abstraction of Data set, Feature extraction, Feature selection, Evaluation. Par t - II In Part - II of the text, the mathematical representation and computation algorithms for extracting and evaluating patterns are discussed. The basic algorithms of machine learning classifiers with Nearest neighbor and Naive Bayes is reported with value added validation process using decision trees. Computational Algorithms: Nearest neighbor algorithm, variants of NN algorithms, use of NN for transaction databases, efficient algorithms, Data reduction, prototype selection, Bayes theorem, minimum error rate classifier, estimation of probabilities, estimation of probabilities, comparison with NNC, Naive Bayesclassifier, Bayesian belief network. Decision Trees: Introduction, Decision Tree for Pattern Recognition, Construction of Decision Tree, Splittingat the nodes, Over-fitting& Pruning, Examples.
Textbook On Pattern Recognition
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Author : Anuj Bhardwaj
language : en
Publisher:
Release Date : 2015
Textbook On Pattern Recognition written by Anuj Bhardwaj and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Computers categories.
Presents both classical and current theoretical foundation of pattern recognition and practice of supervised, unsupervised and reinforces learning to build a complete background of professionals and engineering students. Every pattern of the image and design cycles has been discussed in detail through illustrative examples and applications. The very latest method are incorporated in this text book including k-mean clustering, k-nearest neighborhood methods etc. Coverage of Learning & Adaptation. Design Cycle of Pattern Recognition. Algorithms have been presented in step by step in illustration of the same in problems. Probability distribution function with Cumulative and Uniform PDF methods Coverage of Optical Character recognition, face recognition, and speech recognition and image analysis. The information is clearly presented and illustrated by many examples and applications and is designed for use as a text for course in pattern recognition for both undergraduate and post graduate engineering students.