Correlation Pattern Recognition PDF Download
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Author: B. V. K. Vijaya Kumar
Publisher:
ISBN: 9780511136801
Category : Correlation (Statistics)
Languages : en
Pages : 404
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Book Description
A review of the background material needed for correlation pattern recognition for graduate students and practitioners.
Author: B. V. K. Vijaya Kumar
Publisher:
ISBN: 9780511136801
Category : Correlation (Statistics)
Languages : en
Pages : 404
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Book Description
A review of the background material needed for correlation pattern recognition for graduate students and practitioners.
Author: Abhijit Mahalanobis
Publisher:
ISBN:
Category :
Languages : en
Pages : 156
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Book Description
Author: B. V. K. Vijaya Kumar
Publisher: Cambridge University Press
ISBN: 1139447122
Category : Computers
Languages : en
Pages : 404
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Book Description
Correlation is a robust and general technique for pattern recognition and is used in many applications, such as automatic target recognition, biometric recognition and optical character recognition. The design, analysis and use of correlation pattern recognition algorithms requires background information, including linear systems theory, random variables and processes, matrix/vector methods, detection and estimation theory, digital signal processing and optical processing. This book provides a needed review of this diverse background material and develops the signal processing theory, the pattern recognition metrics, and the practical application know-how from basic premises. It shows both digital and optical implementations. It also contains technology presented by the team that developed it and includes case studies of significant interest, such as face and fingerprint recognition. Suitable for graduate students taking courses in pattern recognition theory, whilst reaching technical levels of interest to the professional practitioner.
Author: Diane Wolff
Publisher: Springer Science & Business Media
ISBN: 146159331X
Category : Computers
Languages : en
Pages : 226
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Book Description
An attempt is made in this book to give scientists a detailed working knowledge of the powerful mathematical tools available to aid in data interpretation, especially when con fronted with large data sets incorporating many parameters. A minimal amount of com puter knowledge is necessary for successful applications, and we have tried conscien tiously to provide this in the appropriate sections and references. Scientific data are now being produced at rates not believed possible ten years ago. A major goal in any sci entific investigation should be to obtain a critical evaluation of the data generated in a set of experiments in order to extract whatever useful scientific information may be present. Very often, the large number of measurements present in the data set does not make this an easy task. The goals of this book are thus fourfold. The first is to create a useful reference on the applications of these statistical pattern recognition methods to the sciences. The majority of our discussions center around the fields of chemistry, geology, environmen tal sciences, physics, and the biological and medical sciences. In Chapter IV a section is devoted to each of these fields. Since the applications of pattern recognition tech niques are essentially unlimited, restricted only by the outer limitations of.
Author: Petra Perner
Publisher: Springer Science & Business Media
ISBN: 9783540615774
Category : Computers
Languages : en
Pages : 412
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Book Description
This book constitutes the refereed proceedings of the 6th International Workshop on Structural and Syntactical Pattern Recognition, SSPR '96, held in Leipzig, Germany in August 1996. The 36 revised full papers included together with three invited papers were carefully selected from a total of 52 submissions. The papers are organized in topical sections on grammars and languages; morphology and mathematical approaches to pattern recognition; semantic nets, relational models and graph-based methods; 2D and 3D shape recognition; document image analysis and recognition; and handwritten and printed character recognition.
Author: Jesús Ariel Carrasco-Ochoa
Publisher: Springer
ISBN: 3030210774
Category : Computers
Languages : en
Pages : 444
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Book Description
This book constitutes the proceedings of the 11th Mexican Conference on Pattern Recognition, MCPR 2019, held in Querétaro, Mexico, in June 2019. The 40 papers presented in this volume were carefully reviewed and selected from 86 submissions. They were organized in topical sections named: artificial intelligence techniques and recognition; computer vision; industrial and medical applications of pattern recognition; image processing and analysis; pattern recognition techniques; signal processing and analysis; natural language, and processing and recognition.
Author: Francesc J. Ferri
Publisher: Springer Science & Business Media
ISBN: 3540679464
Category : Computers
Languages : en
Pages : 918
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Book Description
This book constitutes the joint refereed proceedings of the 8th International Workshop on Structural and Syntactic Pattern Recognition and the 3rd International Workshop on Statistical Techniques in Pattern Recognition, SSPR 2000 and SPR 2000, held in Alicante, Spain in August/September 2000. The 52 revised full papers presented together with five invited papers and 35 posters were carefully reviewed and selected from a total of 130 submissions. The book offers topical sections on hybrid and combined methods, document image analysis, grammar and language methods, structural matching, graph-based methods, shape analysis, clustering and density estimation, object recognition, general methodology, and feature extraction and selection.
Author: José Francisco Martínez-Trinidad
Publisher: Springer
ISBN: 3642215874
Category : Computers
Languages : en
Pages : 364
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Book Description
This book constitutes the refereed proceedings of the Third Mexican Conference on Pattern Recognition, MCPR 2011, held in Cancun, Mexico, in June/July 2011. The 37 revised full papers were carefully reviewed and selected from 69 submissions and are organized in topical sections on pattern recognition and data mining; computer vision and robotics; image processing; neural networks and signal processing; and natural language and document processing.
Author: Qingshan Liu
Publisher: Springer Nature
ISBN: 9819985498
Category : Computers
Languages : en
Pages : 509
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Book Description
The 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13–15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis.
Author: Mohammad S. Alam
Publisher: SPIE-International Society for Optical Engineering
ISBN:
Category : Computers
Languages : en
Pages : 672
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Book Description
SPIE Milestones are collections of seminal papers from the world literature covering important discoveries and developments in optics and photonics.
