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Multi Resolution Self Organizing Neural Networks For Pattern Recognition


Multi Resolution Self Organizing Neural Networks For Pattern Recognition
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Multi Resolution Self Organizing Neural Networks For Pattern Recognition


Multi Resolution Self Organizing Neural Networks For Pattern Recognition
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Author : Penny Pei Chen
language : en
Publisher:
Release Date : 2001

Multi Resolution Self Organizing Neural Networks For Pattern Recognition written by Penny Pei Chen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with categories.


The MRF-ART neural network employs fast competitive learning and efficient parallel matching to solve complex data classification problems. The architecture of the MRF-ART not only preserves the ART-type neural network's characteristics but also extends its capability to represent input patterns in a hierarchical fashion. To achieve this, the MRF-ART network uses multiple output layers arranged in a cascaded manner which is completely different from a conventional fuzzy ART network with only one output layer. Moreover, the parallel matching process makes the MRF-ART network suitable for hardware implementation.



Neural Nets Wirn09


Neural Nets Wirn09
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Author : Bruno Apolloni
language : en
Publisher: IOS Press
Release Date : 2009

Neural Nets Wirn09 written by Bruno Apolloni and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Computers categories.


This book reports the proceedings of WIRN09, the 19th Italian Workshop of the Italian Society for Neural Networks (SIREN). Neural networks explore thought mechanisms that efficient computational tools and a representative physics of our brain share together and that ultimately produce the loops of our thoughts. The general approach is to see how these loops run and which tracks they leave.



Pattern Recognition And Image Analysis


Pattern Recognition And Image Analysis
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Author : Jordi Vitria
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-06-01

Pattern Recognition And Image Analysis written by Jordi Vitria 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 2011-06-01 with Computers categories.


This volume constitutes the refereed proceedings of the 5th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2011, held in Las Palmas de Gran Canaria, Spain, in June 2011. The 34 revised full papers and 58 revised poster papers presented were carefully reviewed and selected from 158 submissions. The papers are organized in topical sections on computer vision; image processing and analysis; medical applications; and pattern recognition.



Wavelets In Soft Computing


Wavelets In Soft Computing
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Author : Marc Thuillard
language : en
Publisher: World Scientific
Release Date : 2001

Wavelets In Soft Computing written by Marc Thuillard and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computers categories.


This book presents the state of integration of wavelet theory and multiresolution analysis into soft computing. It is the first book on hybrid methods combining wavelet analysis with fuzzy logic, neural networks or genetic algorithms. Much attention is given to new approaches (fuzzy-wavelet) that permit one to develop, using wavelet techniques, linguistically interpretable fuzzy systems from data. The book also introduces the reader to wavelet-based genetic algorithms and multiresolution search. A special place is given to methods that have been implemented in real world applications, particularly the different techniques combining fuzzy logic or neural networks with wavelet theory. Contents: Introduction to Wavelet Theory; Pre-Processing: The Multiresolution Approach; Spline-Based Wavelets Approximation and Compression Algorithms; Automatic Generation of a Fuzzy System with Wavelet Based Methods; On-Line Learning; Nonparametric Wavelet-Based Estimation and Regression Techniques; Developing Intelligent Products; Genetic Algorithms and Multiresolution. Readership: Graduate students, researchers, academics/lecturers and industrialists in fuzzy logic.



Issues In The Use Of Neural Networks In Information Retrieval


Issues In The Use Of Neural Networks In Information Retrieval
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Author : Iuliana F. Iatan
language : en
Publisher: Springer
Release Date : 2016-09-28

Issues In The Use Of Neural Networks In Information Retrieval written by Iuliana F. Iatan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-28 with Technology & Engineering categories.


This book highlights the ability of neural networks (NNs) to be excellent pattern matchers and their importance in information retrieval (IR), which is based on index term matching. The book defines a new NN-based method for learning image similarity and describes how to use fuzzy Gaussian neural networks to predict personality.It introduces the fuzzy Clifford Gaussian network, and two concurrent neural models: (1) concurrent fuzzy nonlinear perceptron modules, and (2) concurrent fuzzy Gaussian neural network modules.Furthermore, it explains the design of a new model of fuzzy nonlinear perceptron based on alpha level sets and describes a recurrent fuzzy neural network model with a learning algorithm based on the improved particle swarm optimization method.



Advances In Neural Networks Isnn 2006


Advances In Neural Networks Isnn 2006
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Author : Jun Wang
language : en
Publisher: Springer
Release Date : 2006-05-11

Advances In Neural Networks Isnn 2006 written by Jun Wang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-05-11 with Computers categories.


This is Volume III of a three volume set constituting the refereed proceedings of the Third International Symposium on Neural Networks, ISNN 2006. 616 revised papers are organized in topical sections on neurobiological analysis, theoretical analysis, neurodynamic optimization, learning algorithms, model design, kernel methods, data preprocessing, pattern classification, computer vision, image and signal processing, system modeling, robotic systems, transportation systems, communication networks, information security, fault detection, financial analysis, bioinformatics, biomedical and industrial applications, and more.



Pattern Recognition And Signal Analysis In Medical Imaging


Pattern Recognition And Signal Analysis In Medical Imaging
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Author : Anke Meyer-Baese
language : en
Publisher: Elsevier
Release Date : 2014-03-21

Pattern Recognition And Signal Analysis In Medical Imaging written by Anke Meyer-Baese and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-21 with Technology & Engineering categories.


Medical imaging is one of the heaviest funded biomedical engineering research areas. The second edition of Pattern Recognition and Signal Analysis in Medical Imaging brings sharp focus to the development of integrated systems for use in the clinical sector, enabling both imaging and the automatic assessment of the resultant data. Since the first edition, there has been tremendous development of new, powerful technologies for detecting, storing, transmitting, analyzing, and displaying medical images. Computer-aided analytical techniques, coupled with a continuing need to derive more information from medical images, has led to a growing application of digital processing techniques in cancer detection as well as elsewhere in medicine. This book is an essential tool for students and professionals, compiling and explaining proven and cutting-edge methods in pattern recognition for medical imaging. - New edition has been expanded to cover signal analysis, which was only superficially covered in the first edition - New chapters cover Cluster Validity Techniques, Computer-Aided Diagnosis Systems in Breast MRI, Spatio-Temporal Models in Functional, Contrast-Enhanced and Perfusion Cardiovascular MRI - Gives readers an unparalleled insight into the latest pattern recognition and signal analysis technologies, modeling, and applications



Advances In Visual Computing


Advances In Visual Computing
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Author : George Bebis
language : en
Publisher: Springer
Release Date : 2015-12-17

Advances In Visual Computing written by George Bebis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-17 with Computers categories.


The two volume set LNCS 9474 and LNCS 9475 constitutes the refereed proceedings of the 11th International Symposium on Visual Computing, ISVC 2015, held in Las Vegas, NV, USA in December 2015. The 115 revised full papers and 35 poster papers presented in this book were carefully reviewed and selected from 260 submissions. The papers are organized in topical sections: Part I (LNCS 9474) comprises computational bioimaging; computer graphics; motion and tracking; segmentation; recognition; visualization; mapping; modeling and surface reconstruction; advancing autonomy for aerial robotics; medical imaging; virtual reality; observing humans; spectral imaging and processing; intelligent transportation systems; visual perception and robotic systems. Part II (LNCS 9475): applications; 3D computer vision; computer graphics; segmentation; biometrics; pattern recognition; recognition; and virtual reality.



Signal And Image Multiresolution Analysis


Signal And Image Multiresolution Analysis
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Author : Abdeldjalil Ouahabi
language : en
Publisher: John Wiley & Sons
Release Date : 2012-12-27

Signal And Image Multiresolution Analysis written by Abdeldjalil Ouahabi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-27 with Technology & Engineering categories.


Multiresolution analysis using the wavelet transform has received considerable attention in recent years by researchers in various fields. It is a powerful tool for efficiently representing signals and images at multiple levels of detail with many inherent advantages, including compression, level-of-detail display, progressive transmission, level-of-detail editing, filtering, modeling, fractals and multifractals, etc. This book aims to provide a simple formalization and new clarity on multiresolution analysis, rendering accessible obscure techniques, and merging, unifying or completing the technique with encoding, feature extraction, compressive sensing, multifractal analysis and texture analysis. It is aimed at industrial engineers, medical researchers, university lab attendants, lecturer-researchers and researchers from various specializations. It is also intended to contribute to the studies of graduate students in engineering, particularly in the fields of medical imaging, intelligent instrumentation, telecommunications, and signal and image processing. Given the diversity of the problems posed and addressed, this book paves the way for the development of new research themes, such as brain–computer interface (BCI), compressive sensing, functional magnetic resonance imaging (fMRI), tissue characterization (bones, skin, etc.) and the analysis of complex phenomena in general. Throughout the chapters, informative illustrations assist the uninitiated reader in better conceptualizing certain concepts, taking the form of numerous figures and recent applications in biomedical engineering, communication, multimedia, finance, etc.



Parallel Image Analysis


Parallel Image Analysis
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Author : Akira Nakamura
language : en
Publisher: Springer Science & Business Media
Release Date : 1992-12-02

Parallel Image Analysis written by Akira Nakamura 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 1992-12-02 with Technology & Engineering categories.


This volume contains the papers selected for presentation at the Second International Conference on Parallel Image Analysis (ICPIA '92), held in Ube, Japan, December 21-23, 1992. The conference topics are data structures, parallel algorithms and architectures, neural networks, computational vision, syntactic generation and recognition, and multidimensional models. The first meeting with these topics was theInternational Colloquium on Parallel Image Processing, which took place in Paris in June 1991. The aim of the meetings is to bring together specialistsfrom various countries who are interested in the topics and to stimulatetheoretical and practical research in the field of parallel image processingand analysis. The volume contains three invited papers, a summary of a tutorial lecture, and twenty selected and refereed communications.