Hybrid Methods In Pattern Recognition

Download Hybrid Methods In Pattern Recognition Book or Ebook File with PDF Epub Audio and Full format File with Free Account at yesterdays we have And Index Catalogue of the Scranton Public Library Authors and Subjects And Sales Audit The Sales Manager's Playbook for Getting Control of the Selling Cycle and Improving Results And A History of the Arab Peoples With a New Afterword

Hybrid Methods in Pattern Recognition

Download Hybrid Methods In Pattern Recognition Book or Ebook File with PDF Epub Audio and Full format File

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
Ads
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

Download Hybrid Intelligent Systems For Pattern Recognition Using Soft Computing Book or Ebook File with PDF Epub Audio and Full format File

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
Ads
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.

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

Download Bio Inspired Hybrid Intelligent Systems For Image Analysis And Pattern Recognition Book or Ebook File with PDF Epub Audio and Full format File

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
Ads
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.

Syntactic Methods in Pattern Recognition

Download Syntactic Methods In Pattern Recognition Book or Ebook File with PDF Epub Audio and Full format File

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
Ads
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

Syntactic and Structural Pattern Recognition Theory and Applications

Download Syntactic And Structural Pattern Recognition Book or Ebook File with PDF Epub Audio and Full format File

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
Ads
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, Machine Intelligence and Biometrics

Download Pattern Recognition Machine Intelligence And Biometrics Book or Ebook File with PDF Epub Audio and Full format File

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
Ads
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.

Syntactic and Structural Pattern Recognition

Download Syntactic And Structural Pattern Recognition Book or Ebook File with PDF Epub Audio and Full format File

Author by : Gabriel Ferrate
Languange Used : English, France, Spanish, Italia and chinese
Page : 471
Isbn : 3642834620
Identifier : 9783642834622
Release : 2012-12-06
Publisher by : Springer Science & Business Media
Category : Computers
Ads
Description : Read Now Syntactic And Structural Pattern Recognition by Gabriel Ferrate and you can download with pub, pdf, txt, doc, and more file format with free account. 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.

Recent Advances on Hybrid Intelligent Systems

Download Recent Advances On Hybrid Intelligent Systems Book or Ebook File with PDF Epub Audio and Full format File

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
Ads
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.

Soft Computing for Hybrid Intelligent Systems

Download Soft Computing For Hybrid Intelligent Systems Book or Ebook File with PDF Epub Audio and Full format File

Author by : Oscar Castillo
Languange Used : English, France, Spanish, Italia and chinese
Page : 448
Isbn : 3540708111
Identifier : 9783540708117
Release : 2008-08-25
Publisher by : Springer Science & Business Media
Category : Computers
Ads
Description : Read Now Soft Computing For Hybrid Intelligent Systems by Oscar Castillo and you can download with pub, pdf, txt, doc, and more file format with free account. we describe in this book, new methods and applications of hybrid intelligent systems using soft computing techniques. soft computing (sc) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary al- rithms, which can be used to produce powerful hybrid intelligent systems. the book is organized in five main parts, which contain a group of papers around a similar subject. the first part consists of papers with the main theme of intelligent control, which are basically papers that use hybrid systems to solve particular problems of control. the second part contains papers with the main theme of pattern recognition, which are basically papers using soft computing techniques for achieving pattern recognition in different applications. the third part contains papers with the themes of intelligent agents and social systems, which are papers that apply the ideas of agents and social behavior to solve real-world problems. the fourth part contains papers that deal with the hardware implementation of intelligent systems for solving particular problems. the fifth part contains papers that deal with modeling, simulation and optimization for real-world applications.

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

Download Pattern Recognition Theory And Applications Book or Ebook File with PDF Epub Audio and Full format File

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
Ads
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.

Pattern Recognition Theory and Applications

Download Pattern Recognition Theory And Applications Book or Ebook File with PDF Epub Audio and Full format File

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
Ads
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.

Hybrid Classifiers Methods of Data, Knowledge, and Classifier Combination

Download Hybrid Classifiers Book or Ebook File with PDF Epub Audio and Full format File

Author by : Michal Wozniak
Languange Used : English, France, Spanish, Italia and chinese
Page : 217
Isbn : 3642409970
Identifier : 9783642409974
Release : 2013-09-16
Publisher by : Springer
Category : Computers
Ads
Description : Read Now Hybrid Classifiers by Michal Wozniak and you can download with pub, pdf, txt, doc, and more file format with free account. this book delivers a definite and compact knowledge on how hybridization can help improving the quality of computer classification systems. in order to make readers clearly realize the knowledge of hybridization, this book primarily focuses on introducing the different levels of hybridization and illuminating what problems we will face with as dealing with such projects. in the first instance the data and knowledge incorporated in hybridization were the action points, and then a still growing up area of classifier systems known as combined classifiers was considered. this book comprises the aforementioned state-of-the-art topics and the latest research results of the author and his team from department of systems and computer networks, wroclaw university of technology, including as classifier based on feature space splitting, one-class classification, imbalance data, and data stream classification.