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Relational Matching


Relational Matching
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Relational Matching


Relational Matching
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Author : George Vosselman
language : en
Publisher: Springer Science & Business Media
Release Date : 1992-09-10

Relational Matching written by George Vosselman 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 1992-09-10 with Computers categories.


This is an introduction to recursive functions intended for graduate students. It presupposes some mathematical maturity and a slight aquaintancewith some important topics, such as group theory and topology. Some acquaintance with logic is desirable but not essential. It introduces the main topics of recusion theory, such as hierarchy theory, RE sets, and undecidable theories, without going very deeply into any of them.



Syntactic And Structural Pattern Recognition Theory And Applications


Syntactic And Structural Pattern Recognition Theory And Applications
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Author : Horst Bunke
language : en
Publisher: World Scientific
Release Date : 1990-01-01

Syntactic And Structural Pattern Recognition Theory And Applications written by Horst Bunke and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990-01-01 with Computers categories.


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.



Advances In Structural And Syntactic Pattern Recognition Proceedings Of The International Workshop


Advances In Structural And Syntactic Pattern Recognition Proceedings Of The International Workshop
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Author : Horst Bunke
language : en
Publisher: World Scientific
Release Date : 1993-02-23

Advances In Structural And Syntactic Pattern Recognition Proceedings Of The International Workshop written by Horst Bunke and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-02-23 with categories.


Pattern recognition is an active area of research with many applications, some of which have reached commercial maturity. Structural and syntactic methods are very powerful. They are based on symbolic data structures together with matching, parsing, and reasoning procedures that are able to infer interpretations of complex input patterns.This book gives an overview of the latest developments and achievements in the field.



Advances In Neural Information Processing Systems 9


Advances In Neural Information Processing Systems 9
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Author : Michael C. Mozer
language : en
Publisher: MIT Press
Release Date : 1997

Advances In Neural Information Processing Systems 9 written by Michael C. Mozer and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Computers categories.


The annual conference on Neural Information Processing Systems (NIPS) is the flagship conference on neural computation. It draws preeminent academic researchers from around the world and is widely considered to be a showcase conference for new developments in network algorithms and architectures. The broad range of interdisciplinary research areas represented includes neural networks and genetic algorithms, cognitive science, neuroscience and biology, computer science, AI, applied mathematics, physics, and many branches of engineering. Only about 30% of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. All of the papers presented appear in these proceedings.



Computer Analysis Of Images And Patterns


Computer Analysis Of Images And Patterns
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Author : Vaclav Hlavac
language : en
Publisher: Springer Science & Business Media
Release Date : 1995-08-23

Computer Analysis Of Images And Patterns written by Vaclav Hlavac 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 1995-08-23 with Science categories.


This book presents the proceedings of the Sixth International Conference on Computer Analysis of Images and Patterns, CAIP '95, held in Prague, Czech Republic in September 1995. The volume presents 61 full papers and 75 posters selected from a total of 262 submissions and thus gives a comprehensive view on the state-of-the-art in computer analysis of images and patterns, research, design, and advanced applications. The papers are organized in sections on invariants, segmentation and grouping, optical flow, model recovery and parameter estimation, low level vision, motion detection, structure and matching, active vision and shading, human face recognition, calibration, contour, and sessions on applications in diverse areas.



Markov Random Field Modeling In Computer Vision


Markov Random Field Modeling In Computer Vision
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Author : S.Z. Li
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Markov Random Field Modeling In Computer Vision written by S.Z. Li 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 2012-12-06 with Computers categories.


Markov random field (MRF) modeling provides a basis for the characterization of contextual constraints on visual interpretation and enables us to develop optimal vision algorithms systematically based on sound principles. This book presents a comprehensive study on using MRFs to solve computer vision problems, covering the following parts essential to the subject: introduction to fundamental theories, formulations of various vision models in the MRF framework, MRF parameter estimation, and optimization algorithms. Various MRF vision models are presented in a unified form, including image restoration and reconstruction, edge and region segmentation, texture, stereo and motion, object matching and recognition, and pose estimation. This book is an excellent reference for researchers working in computer vision, image processing, pattern recognition and applications of MRFs. It is also suitable as a text for advanced courses in the subject.



Pattern Recognition In Practice Iv Multiple Paradigms Comparative Studies And Hybrid Systems


Pattern Recognition In Practice Iv Multiple Paradigms Comparative Studies And Hybrid Systems
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Author : E.S. Gelsema
language : en
Publisher: Elsevier
Release Date : 2014-06-28

Pattern Recognition In Practice Iv Multiple Paradigms Comparative Studies And Hybrid Systems written by E.S. Gelsema and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-28 with Computers categories.


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.



Markov Random Field Modeling In Image Analysis


Markov Random Field Modeling In Image Analysis
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Author : Stan Z. Li
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-14

Markov Random Field Modeling In Image Analysis written by Stan Z. Li 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 2013-03-14 with Computers categories.


Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms systematically when used with optimization principles. This book presents a comprehensive study on the use of MRFs for solving computer vision problems. The book covers the following parts essential to the subject: introduction to fundamental theories, formulations of MRF vision models, MRF parameter estimation, and optimization algorithms. Various vision models are presented in a unified framework, including image restoration and reconstruction, edge and region segmentation, texture, stereo and motion, object matching and recognition, and pose estimation. This second edition includes the most important progress in Markov modeling in image analysis in recent years such as Markov modeling of images with "macro" patterns (e.g. the FRAME model), Markov chain Monte Carlo (MCMC) methods, reversible jump MCMC. This book is an excellent reference for researchers working in computer vision, image processing, statistical pattern recognition and applications of MRFs. It is also suitable as a text for advanced courses in these areas.



Language And Concept Acquisition From Infancy Through Childhood


Language And Concept Acquisition From Infancy Through Childhood
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Author : Jane B. Childers
language : en
Publisher: Springer Nature
Release Date : 2020-02-03

Language And Concept Acquisition From Infancy Through Childhood written by Jane B. Childers and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-03 with Psychology categories.


This book examines the role of experience-based learning on children’s acquisition of language and concepts. It reviews, compares, and contrasts accounts of how the opportunity to recognize and generalize patterns influences learning. The book offers the first systematic integration of three highly influential research traditions in the domains of language and concept acquisition: Statistical Learning, Structural Alignment, and the Bayesian learning perspective. Chapters examine the parameters that constrain learning, address conditions that optimize learning, and offer explanations for cases in which implicit exemplar-based learning fails to occur. By exploring both the benefits and challenges children face as they learn from multiple examples, the book offers insight on how to better able to understand children’s early unsupervised learning about language and concepts. Topics featured in this book include: Competing models of statistical learning and how learning might be constrained by infants’ developing cognitive abilities. How experience with multiple exemplars helps infants understand space and other relations. The emergence of category-based inductive reasoning during infancy and early childhood. How children learn individual verbs and the verb system over time. How statistical learning leads to aggregation and abstraction in word learning. Mechanisms for evaluating others’ reliability as sources of knowledge when learning new words. The Search for Invariance (SI) hypothesis and its role in facilitating causal learning. Language and Concept Acquisition from Infancy Through Childhood is an essential resource for researchers, clinicians and related professionals, and graduate students in infancy and early child development, applied linguistics, language education, child, school, and developmental psychology and related mental health and education services.



Complex Systems


Complex Systems
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Author : Russel J. Stonier
language : en
Publisher: IOS Press
Release Date : 1994

Complex Systems written by Russel J. Stonier and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computers categories.


The last few years have seen an extraordinary growth in many areas of complex systems. In the field of synergetics and cooperative behaviour in neural systems a new vocabulary emerged to describe discoveries of wide-ranging and fundamental phenomena, like for example artificial life, biocomplexity, cellular automata, chaos, criticality, fractals, learning systems, neural networks, non-linear dynamics, parallel computation, percolation, self-organization.One of the contributing factors to this growth is the extraordinary increase in computing power. Previously intractable non-linear systems are now amenable to analysis and simulation and parallel computers are ever more important in these areas.The book contains papers exploring many aspects of complex systems, covering theory and applications and deal with material drawn from many different disciplines and specialities.