Advances In Pattern Recognition Systems Using Neural Network Technologies

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Advances In Pattern Recognition Systems Using Neural Network Technologies

Author : Patrick S P Wang,Isabelle Guyon
Publisher : World Scientific
Page : 329 pages
File Size : 42,5 Mb
Release : 1994-01-01
Category : Electronic
ISBN : 9789814611817

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Advances In Pattern Recognition Systems Using Neural Network Technologies by Patrick S P Wang,Isabelle Guyon Pdf

Contents:A Connectionist Approach to Speech Recognition (Y Bengio)Signature Verification Using a “Siamese” Time Delay Neural Network (J Bromley et al.)Boosting Performance in Neural Networks (H Drucker et al.)An Integrated Architecture for Recognition of Totally Unconstrained Handwritten Numerals (A Gupta et al.)Time-Warping Network: A Neural Approach to Hidden Markov Model Based Speech Recognition (E Levin et al.)Computing Optical Flow with a Recurrent Neural Network (H Li & J Wang)Integrated Segmentation and Recognition through Exhaustive Scans or Learned Saccadic Jumps (G L Martin et al.)Experimental Comparison of the Effect of Order in Recurrent Neural Networks (C B Miller & C L Giles)Adaptive Classification by Neural Net Based Prototype Populations (K Peleg & U Ben-Hanan)A Neural System for the Recognition of Partially Occluded Objects in Cluttered Scenes: A Pilot Study (L Wiskott & C von der Malsburg)and other papers Readership: Computer scientists and engineers.

Advances In Pattern Recognition And Artificial Intelligence

Author : Marleah Blom,Nicola Nobile,Ching Yee Suen
Publisher : World Scientific
Page : 277 pages
File Size : 44,7 Mb
Release : 2021-11-16
Category : Computers
ISBN : 9789811239021

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Advances In Pattern Recognition And Artificial Intelligence by Marleah Blom,Nicola Nobile,Ching Yee Suen Pdf

This book includes reviewed papers by international scholars from the 2020 International Conference on Pattern Recognition and Artificial Intelligence (held online). The papers have been expanded to provide more details specifically for the book. It is geared to promote ongoing interest and understanding about pattern recognition and artificial intelligence. Like the previous book in the series, this book covers a range of topics and illustrates potential areas where pattern recognition and artificial intelligence can be applied. It highlights, for example, how pattern recognition and artificial intelligence can be used to classify, predict, detect and help promote further discoveries related to credit scores, criminal news, national elections, license plates, gender, personality characteristics, health, and more.Chapters include works centred on medical and financial applications as well as topics related to handwriting analysis and text processing, internet security, image analysis, database creation, neural networks and deep learning. While the book is geared to promote interest from the general public, it may also be of interest to graduate students and researchers in the field.

Advances in Pattern Recognition Research

Author : Thomas Lu,Tien-Hsin Chao
Publisher : Unknown
Page : 205 pages
File Size : 49,9 Mb
Release : 2018-11-16
Category : Machine learning
ISBN : 1536144290

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Advances in Pattern Recognition Research by Thomas Lu,Tien-Hsin Chao Pdf

Artificial Intelligence (AI) has become a popular research topic recently. Pattern recognition (PR) is an important part of an AI system. If the AI is considered as the digital brain, then the PR is the visual and auditory cortex that converts the optical signals from the eyes and the acoustic signals from the ears to meaningful symbolic texts that the brain can digest. Over the past 40+ years, the processing speed of a digital computer has increased from kbits/s to tera floating point operations per second (TFLOPS), a 109 times acceleration. PR research has made significant advancements along the advancement of digital hardware, especially the graphical processing unit (GPU) technology that helps the rapid processing of complex images. In this book, the authors have collected the latest work from leading researchers in the PR fields. The topics are broad, which include optical implementation of various filters, digital implementation of state-of-the-art neural network (NN) training methods, and the latest deep leaning (DL) models. We also included applications of PR in various fields.

Neural Networks In Pattern Recognition And Their Applications

Author : Chi Hau Chen
Publisher : World Scientific
Page : 176 pages
File Size : 43,8 Mb
Release : 1991-12-27
Category : Computers
ISBN : 9789814505994

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Neural Networks In Pattern Recognition And Their Applications by Chi Hau Chen Pdf

The revitalization of neural network research in the past few years has already had a great impact on research and development in pattern recognition and artificial intelligence. Although neural network functions are not limited to pattern recognition, there is no doubt that a renewed progress in pattern recognition and its applications now critically depends on neural networks. This volume specially brings together outstanding original research papers in the area and aims to help the continued progress in pattern recognition and its applications.

Progress in Pattern Recognition

Author : Sameer Singh,Maneesha Singh
Publisher : Springer Science & Business Media
Page : 268 pages
File Size : 50,9 Mb
Release : 2007-08-03
Category : Computers
ISBN : 1846289440

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Progress in Pattern Recognition by Sameer Singh,Maneesha Singh Pdf

This book features a collection of articles presented at the 2007 Workshop on Advances in Pattern Recognition, which was organized in conjunction with the 5th International Summer School on Pattern Recognition. It provides readers with the state-of-the-art algorithms in the area of pattern recognition as well as a presentation of the cutting edge applications within the field.

Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies

Author : Mago, Vijay Kumar
Publisher : IGI Global
Page : 785 pages
File Size : 41,6 Mb
Release : 2011-12-31
Category : Computers
ISBN : 9781613504307

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Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies by Mago, Vijay Kumar Pdf

The need for intelligent machines in areas such as medical diagnostics, biometric security systems, and image processing motivates researchers to develop and explore new techniques, algorithms, and applications in this evolving field.Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies provides a common platform for researchers to present theoretical and applied research findings for enhancing and developing intelligent systems. Through its discussions of advances in and applications of pattern recognition technologies and artificial intelligence, this reference highlights core concepts in biometric imagery, feature recognition, and other related fields, along with their applicability.

Soft Computing Approach to Pattern Recognition and Image Processing

Author : Ashish Ghosh,Sankar K. Pal
Publisher : World Scientific
Page : 374 pages
File Size : 53,7 Mb
Release : 2002
Category : Computers
ISBN : 9812776230

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Soft Computing Approach to Pattern Recognition and Image Processing by Ashish Ghosh,Sankar K. Pal Pdf

This volume provides a collection of sixteen articles containing review and new material. In a unified way, they describe the recent development of theories and methodologies in pattern recognition, image processing and vision using fuzzy logic, artificial neural networks, genetic algorithms, rough sets and wavelets with significant real life applications. The book details the theory of granular computing and the role of a rough-neuro approach as a way of computing with words and designing intelligent recognition systems. It also demonstrates applications of the soft computing paradigm to case based reasoning, data mining and bio-informatics with a scope for future research. The contributors from around the world present a balanced mixture of current theory, algorithms and applications, making the book an extremely useful resource for students and researchers alike. Contents: Pattern Recognition: Multiple Classifier Systems; Building Decision Trees from the Fourier Spectrum of a Tree Ensemble; Clustering Large Data Sets; Multi-objective Variable String Genetic Classifier: Application to Remote Sensing Imagery; Image Processing and Vision: Dissimilarity Measures Between Fuzzy Sets or Fuzzy Structures; Early Vision: Concepts and Algorithms; Self-organizing Neural Network for Multi-level Image Segmentation; Geometric Transformation by Moment Method with Wavelet Matrix; New Computationally Efficient Algorithms for Video Coding; Soft Computing for Computational Media Aesthetics: Analyzing Video Content for Meaning; Granular Computing and Case Based Reasoning: Towards Granular Multi-agent Systems; Granular Computing and Pattern Recognition; Case Base Maintenance: A Soft Computing Perspective; Real Life Applications: Autoassociative Neural Network Models for Pattern Recognition Tasks in Speech and Image; Protein Structure Prediction Using Soft Computing; Pattern Classification for Biological Data Mining. Readership: Upper level undergraduates, graduates, researchers, academics and industrialists.

Frontiersinpatternrecognitionandartificialintelligence

Author : Blom Marleah,Nobile Nicola,Suen Ching Yee
Publisher : World Scientific
Page : 300 pages
File Size : 40,8 Mb
Release : 2019-06-17
Category : Computers
ISBN : 9789811203534

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Frontiersinpatternrecognitionandartificialintelligence by Blom Marleah,Nobile Nicola,Suen Ching Yee Pdf

The fifth volume in this book series consists of a collection of new papers written by a diverse group of international scholars. Papers and presentations were carefully selected from 160 papers submitted to the International Conference on Pattern Recognition and Artificial Intelligence held in Montreal, Quebec (May 2018) and an associated free public lecture entitled 'Artificial Intelligence and Pattern Recognition: Trendy Technologies in Our Modern Digital World'. Chapters address topics such as the evolution of AI, natural language processing, off and on-line handwriting analysis, tracking and detection systems, neural networks, rating video games, computer-aided diagnosis, and digital learning.Within an increasingly digital world, 'artificial intelligence' is becoming a household term and a topic of great interest to many people worldwide. Pattern recognition, in using key features to classify data, has a strong relationship with artificial intelligence. This book not only complements other monographs in the series, it also provides the latest information. It is geared to promote interest and understanding about pattern recognition and artificial intelligence to the general public. It may also be of interest to graduate students and researchers in the field. Rather than focusing on one specific area, the book introduces readers to various basic concepts and to various potential areas where pattern recognition and artificial intelligence can be applied to make valuable contributions to other fields such as medicine, teaching and learning, forensic science, surveillance, online reviews, computer vision and object tracking.

Pattern Recognition with Neural Networks in C++

Author : Abhijit S. Pandya,Robert B. Macy
Publisher : CRC Press
Page : 434 pages
File Size : 47,5 Mb
Release : 2020-10-12
Category : Computers
ISBN : 9780429606212

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Pattern Recognition with Neural Networks in C++ by Abhijit S. Pandya,Robert B. Macy Pdf

The addition of artificial neural network computing to traditional pattern recognition has given rise to a new, different, and more powerful methodology that is presented in this interesting book. This is a practical guide to the application of artificial neural networks. Geared toward the practitioner, Pattern Recognition with Neural Networks in C++ covers pattern classification and neural network approaches within the same framework. Through the book's presentation of underlying theory and numerous practical examples, readers gain an understanding that will allow them to make judicious design choices rendering neural application predictable and effective. The book provides an intuitive explanation of each method for each network paradigm. This discussion is supported by a rigorous mathematical approach where necessary. C++ has emerged as a rich and descriptive means by which concepts, models, or algorithms can be precisely described. For many of the neural network models discussed, C++ programs are presented for the actual implementation. Pictorial diagrams and in-depth discussions explain each topic. Necessary derivative steps for the mathematical models are included so that readers can incorporate new ideas into their programs as the field advances with new developments. For each approach, the authors clearly state the known theoretical results, the known tendencies of the approach, and their recommendations for getting the best results from the method. The material covered in the book is accessible to working engineers with little or no explicit background in neural networks. However, the material is presented in sufficient depth so that those with prior knowledge will find this book beneficial. Pattern Recognition with Neural Networks in C++ is also suitable for courses in neural networks at an advanced undergraduate or graduate level. This book is valuable for academic as well as practical research.

Adaptive Pattern Recognition and Neural Networks

Author : Yoh-Han Pao
Publisher : Addison Wesley Publishing Company
Page : 344 pages
File Size : 50,6 Mb
Release : 1989
Category : Computers
ISBN : UOM:39015012010578

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Adaptive Pattern Recognition and Neural Networks by Yoh-Han Pao Pdf

A coherent introduction to the basic concepts of pattern recognition, incorporating recent advances from AI, neurobiology, engineering, and other disciplines. Treats specifically the implementation of adaptive pattern recognition to neural networks. Annotation copyright Book News, Inc. Portland, Or.

Pattern Recognition Technologies and Applications: Recent Advances

Author : Verma, Brijesh,Blumenstein, Michael
Publisher : IGI Global
Page : 454 pages
File Size : 40,8 Mb
Release : 2008-06-30
Category : Computers
ISBN : 9781599048093

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Pattern Recognition Technologies and Applications: Recent Advances by Verma, Brijesh,Blumenstein, Michael Pdf

The nature of handwriting in our society has significantly altered over the ages due to the introduction of new technologies such as computers and the World Wide Web. With increases in the amount of signature verification needs, state of the art internet and paper-based automated recognition methods are necessary. Pattern Recognition Technologies and Applications: Recent Advances provides cutting-edge pattern recognition techniques and applications. Written by world-renowned experts in their field, this easy to understand book is a must have for those seeking explanation in topics such as on- and offline handwriting and speech recognition, signature verification, and gender classification.

Computational Models of Speech Pattern Processing

Author : Keith Ponting
Publisher : Springer Science & Business Media
Page : 478 pages
File Size : 45,5 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642600876

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Computational Models of Speech Pattern Processing by Keith Ponting Pdf

Proceedings of the NATO Advanced Study Institute on Computational Models of Speech Pattern Processing, held in St. Helier, Jersey, UK, July 7-18, 1997

Advances in Neural Networks: Computational and Theoretical Issues

Author : Simone Bassis,Anna Esposito,Francesco Carlo Morabito
Publisher : Springer
Page : 402 pages
File Size : 41,8 Mb
Release : 2015-06-05
Category : Technology & Engineering
ISBN : 9783319181646

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Advances in Neural Networks: Computational and Theoretical Issues by Simone Bassis,Anna Esposito,Francesco Carlo Morabito Pdf

This book collects research works that exploit neural networks and machine learning techniques from a multidisciplinary perspective. Subjects covered include theoretical, methodological and computational topics which are grouped together into chapters devoted to the discussion of novelties and innovations related to the field of Artificial Neural Networks as well as the use of neural networks for applications, pattern recognition, signal processing, and special topics such as the detection and recognition of multimodal emotional expressions and daily cognitive functions, and bio-inspired memristor-based networks. Providing insights into the latest research interest from a pool of international experts coming from different research fields, the volume becomes valuable to all those with any interest in a holistic approach to implement believable, autonomous, adaptive and context-aware Information Communication Technologies.

Computational Intelligence in Pattern Recognition

Author : Asit Kumar Das,Janmenjoy Nayak,Bighnaraj Naik,Soumen Kumar Pati,Danilo Pelusi
Publisher : Springer
Page : 1046 pages
File Size : 43,7 Mb
Release : 2019-08-17
Category : Technology & Engineering
ISBN : 9789811390425

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Computational Intelligence in Pattern Recognition by Asit Kumar Das,Janmenjoy Nayak,Bighnaraj Naik,Soumen Kumar Pati,Danilo Pelusi Pdf

This book presents practical development experiences in different areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.

Neural Networks and Pattern Recognition

Author : Omid Omidvar,Judith Dayhoff
Publisher : Academic Press
Page : 380 pages
File Size : 47,5 Mb
Release : 1998
Category : Business & Economics
ISBN : 0125264208

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Neural Networks and Pattern Recognition by Omid Omidvar,Judith Dayhoff Pdf

Pulse-coupled neural networks; A neural network model for optical flow computation; Temporal pattern matching using an artificial neural network; Patterns of dynamic activity and timing in neural network processing; A macroscopic model of oscillation in ensembles of inhibitory and excitatory neurons; Finite state machines and recurrent neural networks: automata and dynamical systems approaches; biased random-waldk learning; a neurobiological correlate to trial-and-error; Using SONNET 1 to segment continuous sequences of items; On the use of high-level petri nets in the modeling of biological neural networks; Locally recurrent networks: the gmma operator, properties, and extensions.