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Author : King Sun Fu
Publisher : Research Studies Press Limited
ISBN 13 :
Total Pages : 216 pages
Book Rating : 4.3/5 (91 download)
Download or read book Statistical Pattern Classification Using Contextual Information written by King Sun Fu and published by Research Studies Press Limited. This book was released on 1980 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Chi Hau Chen
Publisher : World Scientific
ISBN 13 : 9811211086
Total Pages : 403 pages
Book Rating : 4.8/5 (112 download)
Download or read book Handbook Of Pattern Recognition And Computer Vision (6th Edition) written by Chi Hau Chen and published by World Scientific. This book was released on 2020-04-04 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by world-renowned authors, this unique compendium presents the most updated progress in pattern recognition and computer vision (PRCV), fully reflecting the strong international research interests in the artificial intelligence arena.Machine learning has been the key to current developments in PRCV. This useful comprehensive volume complements the previous five editions of the book. It places great emphasis on the use of deep learning in many aspects of PRCV applications, not readily available in other reference text.
Author : Terry Caelli
Publisher : Springer
ISBN 13 : 3540706593
Total Pages : 884 pages
Book Rating : 4.5/5 (47 download)
Download or read book Structural, Syntactic, and Statistical Pattern Recognition written by Terry Caelli and published by Springer. This book was released on 2003-08-02 with total page 884 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains all papers presented at SSPR 2002 and SPR 2002 hosted by the University of Windsor, Windsor, Ontario, Canada, August 6-9, 2002. This was the third time these two workshops were held back-to-back. SSPR was the ninth International Workshop on Structural and Syntactic Pattern Recognition and the SPR was the fourth International Workshop on Statis- cal Techniques in Pattern Recognition. These workshops have traditionally been held in conjunction with ICPR (International Conference on Pattern Recog- tion), and are the major events for technical committees TC2 and TC1, resp- tively, of the International Association of Pattern Recognition (IAPR). The workshops were held in parallel and closely coordinated. This was an attempt to resolve the dilemma of how to deal, in the light of the progressive specialization of pattern recognition, with the need for narrow-focus workshops without further fragmenting the ?eld and introducing yet another conference that would compete for the time and resources of potential participants. A total of 116 papers were received from many countries with the submission and reviewingprocesses beingcarried out separately for each workshop. A total of 45 papers were accepted for oral presentation and 35 for posters. In addition four invited speakers presented informative talks and overviews of their research. They were: Tom Dietterich, Oregon State University, USA Sven Dickinson, the University of Toronto, Canada Edwin Hancock, University of York, UK Anil Jain, Michigan State University, USA SSPR 2002 and SPR 2002 were sponsored by the IAPR and the University of Windsor.
Author : Andrew R. Webb
Publisher : John Wiley & Sons
ISBN 13 : 1119961408
Total Pages : 604 pages
Book Rating : 4.1/5 (199 download)
Download or read book Statistical Pattern Recognition written by Andrew R. Webb and published by John Wiley & Sons. This book was released on 2011-10-13 with total page 604 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions. It is a very active area of study and research, which has seen many advances in recent years. Applications such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition, all require robust and efficient pattern recognition techniques. This third edition provides an introduction to statistical pattern theory and techniques, with material drawn from a wide range of fields, including the areas of engineering, statistics, computer science and the social sciences. The book has been updated to cover new methods and applications, and includes a wide range of techniques such as Bayesian methods, neural networks, support vector machines, feature selection and feature reduction techniques.Technical descriptions and motivations are provided, and the techniques are illustrated using real examples. Statistical Pattern Recognition, 3rd Edition: Provides a self-contained introduction to statistical pattern recognition. Includes new material presenting the analysis of complex networks. Introduces readers to methods for Bayesian density estimation. Presents descriptions of new applications in biometrics, security, finance and condition monitoring. Provides descriptions and guidance for implementing techniques, which will be invaluable to software engineers and developers seeking to develop real applications Describes mathematically the range of statistical pattern recognition techniques. Presents a variety of exercises including more extensive computer projects. The in-depth technical descriptions make the book suitable for senior undergraduate and graduate students in statistics, computer science and engineering. Statistical Pattern Recognition is also an excellent reference source for technical professionals. Chapters have been arranged to facilitate implementation of the techniques by software engineers and developers in non-statistical engineering fields. www.wiley.com/go/statistical_pattern_recognition
Author : King-Sun Fu
Publisher : CRC Press
ISBN 13 : 1351078259
Total Pages : 284 pages
Book Rating : 4.3/5 (51 download)
Download or read book Applications of Pattern Recognition written by King-Sun Fu and published by CRC Press. This book was released on 2019-07-22 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph is intended to cover several major applications of pattern recognition. After a brief introduction to pattern recognition in Chapter 1, the two major approaches, statistical approach and syntactic approach, are reviewed in Chapter 2, and 3, respectively. Other topics include the application of pattern recognition to seismic wave interpretation, to system reliability problems, to medical data analysis, as well as character and speech recognition.
Author : L.N. Kanal
Publisher : Elsevier
ISBN 13 : 0444599223
Total Pages : 589 pages
Book Rating : 4.4/5 (445 download)
Download or read book Pattern Recognition in Practice II written by L.N. Kanal and published by Elsevier. This book was released on 2012-12-02 with total page 589 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 1985 Amsterdam conference brought together researchers active in pattern recognition methodology and the development of practical applications. The first part of the book covers various methodological aspects of image processing, knowledge based and model driven image understanding systems, 3-D reconstruction methods, and application oriented papers. Part II deals with aspects of statistical pattern recognition, the problem of population classification, and topics common to both pattern recognition and artificial intelligence.
Author : Geoffrey J. McLachlan
Publisher : John Wiley & Sons
ISBN 13 : 0471725285
Total Pages : 552 pages
Book Rating : 4.4/5 (717 download)
Download or read book Discriminant Analysis and Statistical Pattern Recognition written by Geoffrey J. McLachlan and published by John Wiley & Sons. This book was released on 2005-02-25 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "For both applied and theoretical statisticians as well as investigators working in the many areas in which relevant use can be made of discriminant techniques, this monograph provides a modern, comprehensive, and systematic account of discriminant analysis, with the focus on the more recent advances in the field." –SciTech Book News ". . . a very useful source of information for any researcher working in discriminant analysis and pattern recognition." –Computational Statistics Discriminant Analysis and Statistical Pattern Recognition provides a systematic account of the subject. While the focus is on practical considerations, both theoretical and practical issues are explored. Among the advances covered are regularized discriminant analysis and bootstrap-based assessment of the performance of a sample-based discriminant rule, and extensions of discriminant analysis motivated by problems in statistical image analysis. The accompanying bibliography contains over 1,200 references.
Author : J. Kittler
Publisher : Springer Science & Business Media
ISBN 13 : 9400977727
Total Pages : 560 pages
Book Rating : 4.4/5 (9 download)
Download or read book Pattern Recognition Theory and Applications written by J. Kittler and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the outcome of the successful NATO Advanced Study Institute on Pattern Recognition Theory and Applications, held at St. Anne's College, Oxford, in April 1981., The aim of the meeting was to review the recent advances in the theory of pattern recognition and to assess its current and future practical potential. The theme of the Institute - the decision making aspects of pattern recognition with the emphasis on the novel hybrid approaches - and its scope - a high level tutorial coverage of pattern recognition methodologies counterpointed with contrib uted papers on advanced theoretical topics and applications - are faithfully reflected by the volume. The material is divided into five sections: 1. Methodology 2. Image Understanding and Interpretation 3. Medical Applications 4. Speech Processing and Other Applications 5. Panel Discussions. The first section covers a broad spectrum of pattern recognition methodologies, including geometric, statistical, fuzzy set, syntactic, graph-theoretic and hybrid approaches. Its cove,r age of hybrid methods places the volume in a unique position among existing books on pattern recognition. The second section provides an extensive treatment of the topical problem of image understanding from both the artificial intelligence and pattern recognition points of view. The two application sections demonstrate the usefulness of the novel methodologies in traditional pattern 'recognition application areas. They address the problems of hardware/software implementation and of algorithm robustness, flexibility and general reliability. The final section reports on a panel discussion held during the Institute.
Author : Lior Rokach
Publisher : World Scientific
ISBN 13 : 9814271071
Total Pages : 242 pages
Book Rating : 4.8/5 (142 download)
Download or read book Pattern Classification Using Ensemble Methods written by Lior Rokach and published by World Scientific. This book was released on 2010 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: 1. Introduction to pattern classification. 1.1. Pattern classification. 1.2. Induction algorithms. 1.3. Rule induction. 1.4. Decision trees. 1.5. Bayesian methods. 1.6. Other induction methods -- 2. Introduction to ensemble learning. 2.1. Back to the roots. 2.2. The wisdom of crowds. 2.3. The bagging algorithm. 2.4. The boosting algorithm. 2.5. The AdaBoost algorithm. 2.6. No free lunch theorem and ensemble learning. 2.7. Bias-variance decomposition and ensemble learning. 2.8. Occam's razor and ensemble learning. 2.9. Classifier dependency. 2.10. Ensemble methods for advanced classification tasks -- 3. Ensemble classification. 3.1. Fusions methods. 3.2. Selecting classification. 3.3. Mixture of experts and meta learning -- 4. Ensemble diversity. 4.1. Overview. 4.2. Manipulating the inducer. 4.3. Manipulating the training samples. 4.4. Manipulating the target attribute representation. 4.5. Partitioning the search space. 4.6. Multi-inducers. 4.7. Measuring the diversity -- 5. Ensemble selection. 5.1. Ensemble selection. 5.2. Pre selection of the ensemble size. 5.3. Selection of the ensemble size while training. 5.4. Pruning - post selection of the ensemble size -- 6. Error correcting output codes. 6.1. Code-matrix decomposition of multiclass problems. 6.2. Type I - training an ensemble given a code-matrix. 6.3. Type II - adapting code-matrices to the multiclass problems -- 7. Evaluating ensembles of classifiers. 7.1. Generalization error. 7.2. Computational complexity. 7.3. Interpretability of the resulting ensemble. 7.4. Scalability to large datasets. 7.5. Robustness. 7.6. Stability. 7.7. Flexibility. 7.8. Usability. 7.9. Software availability. 7.10. Which ensemble method should be used?
Author : Niels da Vitoria Lobo
Publisher : Springer Science & Business Media
ISBN 13 : 3540896880
Total Pages : 1029 pages
Book Rating : 4.5/5 (48 download)
Download or read book Structural, Syntactic, and Statistical Pattern Recognition written by Niels da Vitoria Lobo and published by Springer Science & Business Media. This book was released on 2008-11-24 with total page 1029 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th International Workshop on Structural and Syntactic Pattern Recognition, SSPR 2008 and the 7th International Workshop on Statistical Techniques in Pattern Recognition, SPR 2008, held jointly in Orlando, FL, USA, in December 2008 as a satellite event of the 19th International Conference of Pattern Recognition, ICPR 2008. The 56 revised full papers and 42 revised poster papers presented together with the abstracts of 4 invited papers were carefully reviewed and selected from 175 submissions. The papers are organized in topical sections on graph-based methods, probabilistic and stochastic structural models for PR, image and video analysis, shape analysis, kernel methods, recognition and classification, applications, ensemble methods, feature selection, density estimation and clustering, computer vision and biometrics, pattern recognition and applications, pattern recognition, as well as feature selection and clustering.
Author : Antonio Possolo
Publisher : IMS
ISBN 13 : 9780940600270
Total Pages : 440 pages
Book Rating : 4.6/5 (2 download)
Download or read book Spatial Statistics and Imaging written by Antonio Possolo and published by IMS. This book was released on 1991 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 :
Total Pages : 244 pages
Book Rating : 4.:/5 (31 download)
Download or read book Eighth Annual Automatic Imagery Pattern Recognition Symposium Proceedings on ""Emerging Patterns in AIPR" [with] Abstracts, April 3-4, 1978, National Bureau of Standards, Gaithersburg, Maryland written by and published by . This book was released on 1978 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Dit-Yan Yeung
Publisher : Springer
ISBN 13 : 3540372415
Total Pages : 959 pages
Book Rating : 4.5/5 (43 download)
Download or read book Structural, Syntactic, and Statistical Pattern Recognition written by Dit-Yan Yeung and published by Springer. This book was released on 2006-08-09 with total page 959 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the proceedings of the 11th International Workshop on Structural and Syntactic Pattern Recognition, SSPR 2006 and the 6th International Workshop on Statistical Techniques in Pattern Recognition, SPR 2006, held in Hong Kong, August 2006 alongside the Conference on Pattern Recognition, ICPR 2006. 38 revised full papers and 61 revised poster papers are included, together with 4 invited papers covering image analysis, character recognition, bayesian networks, graph-based methods and more.
Author : Chi-hau Chen
Publisher : World Scientific
ISBN 13 : 9814273384
Total Pages : 797 pages
Book Rating : 4.8/5 (142 download)
Download or read book Handbook of Pattern Recognition and Computer Vision written by Chi-hau Chen and published by World Scientific. This book was released on 2010 with total page 797 pages. Available in PDF, EPUB and Kindle. Book excerpt: Both pattern recognition and computer vision have experienced rapid progress in the last twenty-five years. This book provides the latest advances on pattern recognition and computer vision along with their many applications. It features articles written by renowned leaders in the field while topics are presented in readable form to a wide range of readers. The book is divided into five parts: basic methods in pattern recognition, basic methods in computer vision and image processing, recognition applications, life science and human identification, and systems and technology. There are eight new chapters on the latest developments in life sciences using pattern recognition as well as two new chapters on pattern recognition in remote sensing.
Author : Anind Dey
Publisher : Springer Science & Business Media
ISBN 13 : 9783540269243
Total Pages : 1392 pages
Book Rating : 4.2/5 (692 download)
Download or read book Modeling and Using Context written by Anind Dey and published by Springer Science & Business Media. This book was released on 2005-06-24 with total page 1392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International and Interdisciplinary Conference on Modeling and Using Context, CONTEXT 2005, held in Paris, France in July 2005. The 42 revised full papers presented were carefully reviewed and selected from a total of 120 submissions. The papers presented deal with the interdisciplinary topic of modeling and using context from various points of view, ranging through cognitive science, formal logic, artifical intelligence, computational intelligence, philosophical and psychological aspects, and information processing. Highly general philosophical and theoretical issues are complemented by specific applications in various fields.
Author : Gabriel Ferrate
Publisher : Springer Science & Business Media
ISBN 13 : 3642834620
Total Pages : 456 pages
Book Rating : 4.6/5 (428 download)
Download or read book Syntactic and Structural Pattern Recognition written by Gabriel Ferrate and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thirty years ago pattern recognition was dominated by the learning machine concept: that one could automate the process of going from the raw data to a classifier. The derivation of numerical features from the input image was not considered an important step. One could present all possible features to a program which in turn could find which ones would be useful for pattern recognition. In spite of significant improvements in statistical inference techniques, progress was slow. It became clear that feature derivation was a very complex process that could not be automated and that features could be symbolic as well as numerical. Furthennore the spatial relationship amongst features might be important. It appeared that pattern recognition might resemble language analysis since features could play the role of symbols strung together to form a word. This led. to the genesis of syntactic pattern recognition, pioneered in the middle and late 1960's by Russel Kirsch, Robert Ledley, Nararimhan, and Allan Shaw. However the thorough investigation of the area was left to King-Sun Fu and his students who, until his untimely death, produced most of the significant papers in this area. One of these papers (syntactic recognition of fingerprints) received the distinction of being selected as the best paper published that year in the IEEE Transaction on Computers. Therefore syntactic pattern recognition has a long history of active research and has been used in industrial applications.
Author : David Doermann
Publisher : UMD
ISBN 13 : 9780977943647
Total Pages : 362 pages
Book Rating : 4.9/5 (436 download)
Download or read book Proceedings 2003 Symposium on Document Image Understanding Technology written by David Doermann and published by UMD. This book was released on 2003 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt:
