Hybrid Methods In Pattern Recognition

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Hybrid Methods in Pattern Recognition

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Author by : H Bunke
Languange Used : English, France, Spanish, Italia and chinese
Page : 336
Isbn : 9814489549
Identifier : 9789814489546
Release : 2002-05-22
Publisher by : World Scientific
Category : Computers
Total Download : 145540
Total Read : 218374
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Description : Read Now Hybrid Methods In Pattern Recognition by H Bunke and you can download with pub, pdf, txt, doc, and more file format with free account. the field of pattern recognition has seen enormous progress since its beginnings almost 50 years ago. a large number of different approaches have been proposed. hybrid methods aim at combining the advantages of different paradigms within a single system. hybrid methods in pattern recognition is a collection of articles describing recent progress in this emerging field. it covers topics such as the combination of neural nets with fuzzy systems or hidden markov models, neural networks for the processing of symbolic data structures, hybrid methods in data mining, the combination of symbolic and subsymbolic learning, and others. also included is recent work on multiple classifier systems. furthermore, the book deals with applications in on-line and off-line handwriting recognition, remotely sensed image interpretation, fingerprint identification, and automatic text categorization. contents:neuro-fuzzy systems:fuzzification of neural networks for classification problems (h ishibuchi & m nii)neural networks for structural pattern recognition:adaptive graphic pattern recognition: foundations and perspectives (g adorni et al.)adaptive self-organizing map in the graph domain (s günter & h bunke)clustering for hybrid systems:from numbers to information granules: a study in unsupervised learning and feature analysis (a bargiela & w pedrycz)combining neural networks and hidden markov models:combination of hidden markov models and neural networks for hybrid statistical pattern recognition (g rigoll)from character to sentences: a hybrid neuro-markovian system for on-line handwriting recognition (t artières et al.)multiple classifier systems:multiple classifier combination: lessons and next steps (t k ho)design of multiple classifier systems (f roli & g giacinto)fusing neural networks through fuzzy integration (a verikas et al.)applications of hybrid systems:hybrid data mining methods in image processing (a klose & r kruse)robust fingerprint identification based on hybrid pattern recognition methods (d-w jung & r-h park)text categorization using learned document features (m junker et al.) readership: graduate students, lecturers and researchers in computer science, computer engineering, electrical engineering and related fields. keywords:neural network;fuzzy systems;soft computing;hidden markov model;data mining;machine learning;pattern recognition;clustering;granular computing;multiple classifier system;neural network fusion;image processing;fingerprint identification;handwriting recognition

Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing An Evolutionary Approach for Neural Networks and Fuzzy Systems

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Author by : Patricia Melin
Languange Used : English, France, Spanish, Italia and chinese
Page : 272
Isbn : 9783540241218
Identifier : 3540241213
Release : 2005-03-08
Publisher by : Springer Science & Business Media
Category : Computers
Total Download : 7228815
Total Read : 3548332
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Description : Read Now Hybrid Intelligent Systems For Pattern Recognition Using Soft Computing by Patricia Melin and you can download with pub, pdf, txt, doc, and more file format with free account. this monograph describes new methods for intelligent pattern recognition using soft computing techniques including neural networks, fuzzy logic, and genetic algorithms. hybrid intelligent systems that combine several soft computing techniques are needed due to the complexity of pattern recognition problems. hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of pattern recognition systems, to achieve the ultimate goal of pattern recognition. this book also shows results of the application of hybrid intelligent systems to real-world problems of face, fingerprint, and voice recognition. this monograph is intended to be a major reference for scientists and engineers applying new computational and mathematical tools to intelligent pattern recognition and can be also used as a textbook for graduate courses in soft computing, intelligent pattern recognition, computer vision, or applied artificial intelligence.

Syntactic Methods in Pattern Recognition

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Author by : no defined
Languange Used : English, France, Spanish, Italia and chinese
Page : 322
Isbn : 9780080956213
Identifier : 0080956211
Release : 1974-11-15
Publisher by : Elsevier
Category : Mathematics
Total Download : 7049108
Total Read : 7043462
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Description : Read Now Syntactic Methods In Pattern Recognition by no defined and you can download with pub, pdf, txt, doc, and more file format with free account. in this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. a number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation; methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; and methods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory. as a result, the book represents a blend of new methods in general computational analysis, and specific, but also generic, techniques for study of systems theory ant its particular branches, such as optimal filtering and information compression. - best operator approximation, - non-lagrange interpolation, - generic karhunen-loeve transform - generalised low-rank matrix approximation - optimal data compression - optimal nonlinear filtering

Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition

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Author by : Patricia Melin
Languange Used : English, France, Spanish, Italia and chinese
Page : 263
Isbn : 3642045154
Identifier : 9783642045158
Release : 2009-09-30
Publisher by : Springer Science & Business Media
Category : Computers
Total Download : 8931890
Total Read : 7988734
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Description : Read Now Bio Inspired Hybrid Intelligent Systems For Image Analysis And Pattern Recognition by Patricia Melin and you can download with pub, pdf, txt, doc, and more file format with free account. bio-inspired hybrid intelligent systems for image analysis and pattern recognition comprises papers on diverse aspects of bio-inspired models, soft computing and hybrid intelligent systems. the articles are divided into four main parts. the first one consists of papers that propose new fuzzy and bio-inspired models to solve general problems. the second part deals with the main theme of modular neural networks in pattern recognition, which are basically papers using bio-inspired techniques. the third part contains papers that apply hybrid intelligent systems to the problem of time series analysis and prediction, while the fourth one shows papers dealing with bio-inspired models in optimization and robotics applications. an edited book in which both theoretical and application aspects are covered.

Pattern Recognition Theory and Applications Proceedings of the NATO Advanced Study Institute held at St. Anne’s College, Oxford, March 29–April 10, 1981

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Author by : J. Kittler
Languange Used : English, France, Spanish, Italia and chinese
Page : 576
Isbn : 9400977727
Identifier : 9789400977723
Release : 2012-12-06
Publisher by : Springer Science & Business Media
Category : Computers
Total Download : 8173332
Total Read : 5416454
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Description : Read Now Pattern Recognition Theory And Applications by J. Kittler and you can download with pub, pdf, txt, doc, and more file format with free account. 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.

Syntactic and Structural Pattern Recognition Theory and Applications

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Author by : Horst Bunke
Languange Used : English, France, Spanish, Italia and chinese
Page : 554
Isbn : 9789971505660
Identifier : 9971505665
Release : 1990
Publisher by : World Scientific
Category : Computers
Total Download : 1147839
Total Read : 4271338
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Description : Read Now Syntactic And Structural Pattern Recognition by Horst Bunke and you can download with pub, pdf, txt, doc, and more file format with free account. this book is currently the only one on this subject containing both introductory material and advanced recent research results. it presents, at one end, fundamental concepts and notations developed in syntactic and structural pattern recognition and at the other, reports on the current state of the art with respect to both methodology and applications. in particular, it includes artificial intelligence related techniques, which are likely to become very important in future pattern recognition.the book consists of individual chapters written by different authors. the chapters are grouped into broader subject areas like “syntactic representation and parsing”, “structural representation and matching”, “learning”, etc. each chapter is a self-contained presentation of one particular topic. in order to keep the original flavor of each contribution, no efforts were undertaken to unify the different chapters with respect to notation. naturally, the self-containedness of the individual chapters results in some redundancy. however, we believe that this handicap is compensated by the fact that each contribution can be read individually without prior study of the preceding chapters. a unification of the spectrum of material covered by the individual chapters is provided by the subject and author index included at the end of the book.

Pattern Recognition in Practice IV: Multiple Paradigms, Comparative Studies and Hybrid Systems

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Author by : E.S. Gelsema
Languange Used : English, France, Spanish, Italia and chinese
Page : 586
Isbn : 1483297845
Identifier : 9781483297842
Release : 2014-06-28
Publisher by : Elsevier
Category : Computers
Total Download : 3843076
Total Read : 8385511
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Description : Read Now Pattern Recognition In Practice Iv Multiple Paradigms Comparative Studies And Hybrid Systems by E.S. Gelsema and you can download with pub, pdf, txt, doc, and more file format with free account. the era of detailed comparisons of the merits of techniques of pattern recognition and artificial intelligence and of the integration of such techniques into flexible and powerful systems has begun. so confirm the editors of this fourth volume of pattern recognition in practice, in their preface to the book. the 42 quality papers are sourced from a broad range of international specialists involved in developing pattern recognition methodologies and those using pattern recognition techniques in their professional work. the publication is divided into six sections: pattern recognition, signal and image processing, probabilistic reasoning, neural networks, comparative studies, and hybrid systems, giving prospective users a feeling for the applicability of the various methods in their particular field of specialization.

Pattern Recognition, Machine Intelligence and Biometrics

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Author by : Patrick S. P. Wang
Languange Used : English, France, Spanish, Italia and chinese
Page : 866
Isbn : 3642224075
Identifier : 9783642224072
Release : 2012-02-13
Publisher by : Springer Science & Business Media
Category : Computers
Total Download : 8881390
Total Read : 4678376
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Description : Read Now Pattern Recognition Machine Intelligence And Biometrics by Patrick S. P. Wang and you can download with pub, pdf, txt, doc, and more file format with free account. "pattern recognition, machine intelligence and biometrics" covers the most recent developments in pattern recognition and its applications, using artificial intelligence technologies within an increasingly critical field. it covers topics such as: image analysis and fingerprint recognition; facial expressions and emotions; handwriting and signatures; iris recognition; hand-palm gestures; and multimodal based research. the applications span many fields, from engineering, scientific studies and experiments, to biomedical and diagnostic applications, to personal identification and homeland security. in addition, computer modeling and simulations of human behaviors are addressed in this collection of 31 chapters by top-ranked professionals from all over the world in the field of pr/ai/biometrics. the book is intended for researchers and graduate students in computer and information science, and in communication and control engineering. dr. patrick s. p. wang is a professor emeritus at the college of computer and information science, northeastern university, usa, zijiang chair of ecnu, shanghai, and nsc visiting chair professor of ntust, taipei.

Pattern Recognition Theory and Applications

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Author by : Pierre A. Devijver
Languange Used : English, France, Spanish, Italia and chinese
Page : 543
Isbn : 3642830692
Identifier : 9783642830693
Release : 2012-12-06
Publisher by : Springer Science & Business Media
Category : Computers
Total Download : 8321752
Total Read : 3946657
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Description : Read Now Pattern Recognition Theory And Applications by Pierre A. Devijver and you can download with pub, pdf, txt, doc, and more file format with free account. this book is the outcome of a nato advanced study institute on pattern recog nition theory and applications held in spa-balmoral, belgium, in june 1986. this institute was the third of a series which started in 1975 in bandol, france, at the initia tive of professors k. s. fu and a. whinston, and continued in 1981 in oxford, uk, with professors k. s. fu, j. kittler and l. -f. pau as directors. as early as in 1981, plans were made to pursue the series in about 1986 and possibly in belgium, with professor k. s. fu and the present editors as directors. unfortunately, ie sort en decida autrement: professor fu passed away in the spring of 1985. his sudden death was an irreparable loss to the scientific community and to all those who knew him as an inspiring colleague, a teacher or a dear friend. soon after, josef kittler and i decided to pay a small tribute to his memory by helping some of his plans to materialize. with the support of the nato scientific affairs division, the institute became a reality. it was therefore but natural that the proceedings of the institute be dedicated to him. the book contains most of the papers that were presented at the institute. papers are grouped along major themes which hopefully represent the major areas of contem porary research. these are: 1. statistical methods and clustering techniques 2. probabilistic relaxation techniques 3. from markovian to connectionist models 4.

Recent Advances on Hybrid Intelligent Systems

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Author by : Oscar Castillo
Languange Used : English, France, Spanish, Italia and chinese
Page : 572
Isbn : 3642330215
Identifier : 9783642330216
Release : 2012-09-14
Publisher by : Springer
Category : Computers
Total Download : 14135
Total Read : 5670529
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Description : Read Now Recent Advances On Hybrid Intelligent Systems by Oscar Castillo and you can download with pub, pdf, txt, doc, and more file format with free account. this book presents recent advances on hybrid intelligent systems using soft computing techniques for intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. soft computing (sc) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. the book is organized in five main parts, which contain groups of papers around a similar subject. the first part consists of papers with the main theme of hybrid intelligent systems for control and robotics, which are basically state of the art papers that propose new models and concepts, which can be the basis for achieving intelligent control and mobile robotics. the second part contains papers with the main theme of hybrid intelligent systems for pattern recognition and time series prediction, which are basically papers using nature-inspired techniques, like evolutionary algorithms, fuzzy logic and neural networks, for achieving efficient pattern recognition or time series prediction. the third part contains papers with the theme of bio-inspired and genetic optimization methods, which basically consider the proposal of new methods and applications of bio-inspired optimization to solve complex optimization of real problems. the fourth part contains papers that deal with the application of intelligent optimization techniques in real world problems in scheduling, planning and manufacturing. the fifth part contains papers with the theme of evolutionary methods and intelligent computing, which are papers considering soft computing methods for applications related to diverse areas, such as natural language processing, recommending systems and optimization.

Connectionist Speech Recognition A Hybrid Approach

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Author by : Hervé A. Bourlard
Languange Used : English, France, Spanish, Italia and chinese
Page : 313
Isbn : 1461532108
Identifier : 9781461532101
Release : 2012-12-06
Publisher by : Springer Science & Business Media
Category : Technology & Engineering
Total Download : 3240390
Total Read : 2245533
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Description : Read Now Connectionist Speech Recognition by Hervé A. Bourlard and you can download with pub, pdf, txt, doc, and more file format with free account. connectionist speech recognition: a hybrid approach describes the theory and implementation of a method to incorporate neural network approaches into state of the art continuous speech recognition systems based on hidden markov models (hmms) to improve their performance. in this framework, neural networks (and in particular, multilayer perceptrons or mlps) have been restricted to well-defined subtasks of the whole system, i.e. hmm emission probability estimation and feature extraction. the book describes a successful five-year international collaboration between the authors. the lessons learned form a case study that demonstrates how hybrid systems can be developed to combine neural networks with more traditional statistical approaches. the book illustrates both the advantages and limitations of neural networks in the framework of a statistical systems. using standard databases and comparison with some conventional approaches, it is shown that mlp probability estimation can improve recognition performance. other approaches are discussed, though there is no such unequivocal experimental result for these methods. connectionist speech recognition is of use to anyone intending to use neural networks for speech recognition or within the framework provided by an existing successful statistical approach. this includes research and development groups working in the field of speech recognition, both with standard and neural network approaches, as well as other pattern recognition and/or neural network researchers. the book is also suitable as a text for advanced courses on neural networks or speech processing.

Pattern Recognition From Classical to Modern Approaches

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Author by : no defined
Languange Used : English, France, Spanish, Italia and chinese
Page : 233
Isbn : 9814490636
Identifier : 9789814490634
Release :
Publisher by : no defined
Category :
Total Download : 5685911
Total Read : 3220124
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