Evolutionary Computer Vision

Author : Gustavo Olague
Publisher : Springer
Page : 411 pages
File Size : 51,6 Mb
Release : 2016-09-28
Category : Computers
ISBN : 9783662436936

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Evolutionary Computer Vision by Gustavo Olague Pdf

This book explains the theory and application of evolutionary computer vision, a new paradigm where challenging vision problems can be approached using the techniques of evolutionary computing. This methodology achieves excellent results for defining fitness functions and representations for problems by merging evolutionary computation with mathematical optimization to produce automatic creation of emerging visual behaviors. In the first part of the book the author surveys the literature in concise form, defines the relevant terminology, and offers historical and philosophical motivations for the key research problems in the field. For researchers from the computer vision community, he offers a simple introduction to the evolutionary computing paradigm. The second part of the book focuses on implementing evolutionary algorithms that solve given problems using working programs in the major fields of low-, intermediate- and high-level computer vision. This book will be of value to researchers, engineers, and students in the fields of computer vision, evolutionary computing, robotics, biologically inspired mechatronics, electronics engineering, control, and artificial intelligence.

Author : Stefano Cagnoni
Publisher : Hindawi Publishing Corporation
Page : 473 pages
File Size : 51,9 Mb
Release : 2008
Category : Computer vision
ISBN : 9789774540011

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Genetic and Evolutionary Computation for Image Processing and Analysis by Stefano Cagnoni Pdf

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 50,6 Mb
Release : 2008
Category : Electronic
ISBN : OCLC:1124046605

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Evolutionary Computation by Anonim Pdf

Author : Bir Bhanu,Yingqiang Lin,Krzysztof Krawiec
Publisher : Springer Science & Business Media
Page : 296 pages
File Size : 49,8 Mb
Release : 2006-03-30
Category : Computers
ISBN : 9780387244525

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Evolutionary Synthesis of Pattern Recognition Systems by Bir Bhanu,Yingqiang Lin,Krzysztof Krawiec Pdf

Integrates computer vision, pattern recognition, and AI. Presents original research that will benefit researchers and professionals in computer vision, pattern recognition, target recognition, machine learning, evolutionary learning, image processing, knowledge discovery and data mining, cybernetics, robotics, automation and psychology

Author : Ying Bi,Bing Xue,Mengjie Zhang
Publisher : Springer Nature
Page : 279 pages
File Size : 46,9 Mb
Release : 2021-02-08
Category : Technology & Engineering
ISBN : 9783030659271

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Genetic Programming for Image Classification by Ying Bi,Bing Xue,Mengjie Zhang Pdf

This book offers several new GP approaches to feature learning for image classification. Image classification is an important task in computer vision and machine learning with a wide range of applications. Feature learning is a fundamental step in image classification, but it is difficult due to the high variations of images. Genetic Programming (GP) is an evolutionary computation technique that can automatically evolve computer programs to solve any given problem. This is an important research field of GP and image classification. No book has been published in this field. This book shows how different techniques, e.g., image operators, ensembles, and surrogate, are proposed and employed to improve the accuracy and/or computational efficiency of GP for image classification. The proposed methods are applied to many different image classification tasks, and the effectiveness and interpretability of the learned models will be demonstrated. This book is suitable as a graduate and postgraduate level textbook in artificial intelligence, machine learning, computer vision, and evolutionary computation.

Author : Erik Cuevas,Daniel Zaldívar,Marco Perez-Cisneros
Publisher : Springer
Page : 274 pages
File Size : 43,7 Mb
Release : 2015-11-07
Category : Technology & Engineering
ISBN : 9783319264622

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Applications of Evolutionary Computation in Image Processing and Pattern Recognition by Erik Cuevas,Daniel Zaldívar,Marco Perez-Cisneros Pdf

This book presents the use of efficient Evolutionary Computation (EC) algorithms for solving diverse real-world image processing and pattern recognition problems. It provides an overview of the different aspects of evolutionary methods in order to enable the reader in reaching a global understanding of the field and, in conducting studies on specific evolutionary techniques that are related to applications in image processing and pattern recognition. It explains the basic ideas of the proposed applications in a way that can also be understood by readers outside of the field. Image processing and pattern recognition practitioners who are not evolutionary computation researchers will appreciate the discussed techniques beyond simple theoretical tools since they have been adapted to solve significant problems that commonly arise on such areas. On the other hand, members of the evolutionary computation community can learn the way in which image processing and pattern recognition problems can be translated into an optimization task. The book has been structured so that each chapter can be read independently from the others. It can serve as reference book for students and researchers with basic knowledge in image processing and EC methods.

Author : Xin Yao
Publisher : World Scientific
Page : 384 pages
File Size : 55,6 Mb
Release : 1999
Category : Science
ISBN : 9810223064

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Evolutionary Computation by Xin Yao Pdf

Evolutionary computation is the study of computational systems which use ideas and get inspiration from natural evolution and adaptation. This book is devoted to the theory and application of evolutionary computation. It is a self-contained volume which covers both introductory material and selected advanced topics. The book can roughly be divided into two major parts: the introductory one and the one on selected advanced topics. Each part consists of several chapters which present an in-depth discussion of selected topics. A strong connection is established between evolutionary algorithms and traditional search algorithms. This connection enables us to incorporate ideas in more established fields into evolutionary algorithms. The book is aimed at a wide range of readers. It does not require previous exposure to the field since introductory material is included. It will be of interest to anyone who is interested in adaptive optimization and learning. People in computer science, artificial intelligence, operations research, and various engineering fields will find it particularly interesting.

Author : Hitoshi Iba,Nasimul Noman
Publisher : Springer Nature
Page : 437 pages
File Size : 40,6 Mb
Release : 2020-05-20
Category : Computers
ISBN : 9789811536854

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Deep Neural Evolution by Hitoshi Iba,Nasimul Noman Pdf

This book delivers the state of the art in deep learning (DL) methods hybridized with evolutionary computation (EC). Over the last decade, DL has dramatically reformed many domains: computer vision, speech recognition, healthcare, and automatic game playing, to mention only a few. All DL models, using different architectures and algorithms, utilize multiple processing layers for extracting a hierarchy of abstractions of data. Their remarkable successes notwithstanding, these powerful models are facing many challenges, and this book presents the collaborative efforts by researchers in EC to solve some of the problems in DL. EC comprises optimization techniques that are useful when problems are complex or poorly understood, or insufficient information about the problem domain is available. This family of algorithms has proven effective in solving problems with challenging characteristics such as non-convexity, non-linearity, noise, and irregularity, which dampen the performance of most classic optimization schemes. Furthermore, EC has been extensively and successfully applied in artificial neural network (ANN) research —from parameter estimation to structure optimization. Consequently, EC researchers are enthusiastic about applying their arsenal for the design and optimization of deep neural networks (DNN). This book brings together the recent progress in DL research where the focus is particularly on three sub-domains that integrate EC with DL: (1) EC for hyper-parameter optimization in DNN; (2) EC for DNN architecture design; and (3) Deep neuroevolution. The book also presents interesting applications of DL with EC in real-world problems, e.g., malware classification and object detection. Additionally, it covers recent applications of EC in DL, e.g. generative adversarial networks (GAN) training and adversarial attacks. The book aims to prompt and facilitate the research in DL with EC both in theory and in practice.

Author : Peter Bentley,David W. Corne
Publisher : Morgan Kaufmann
Page : 618 pages
File Size : 45,6 Mb
Release : 2002
Category : Computers
ISBN : 9781558606739

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Creative Evolutionary Systems by Peter Bentley,David W. Corne Pdf

Written for computer scientists and students, and computer literate artists, designers and specialists in evolutionary computation, this text brings together the most advanced work in the use of evolutionary computation for creative results.

Author : Thomas Jansen
Publisher : Springer Science & Business Media
Page : 264 pages
File Size : 53,7 Mb
Release : 2013-01-24
Category : Computers
ISBN : 9783642173394

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Analyzing Evolutionary Algorithms by Thomas Jansen Pdf

Evolutionary algorithms is a class of randomized heuristics inspired by natural evolution. They are applied in many different contexts, in particular in optimization, and analysis of such algorithms has seen tremendous advances in recent years. In this book the author provides an introduction to the methods used to analyze evolutionary algorithms and other randomized search heuristics. He starts with an algorithmic and modular perspective and gives guidelines for the design of evolutionary algorithms. He then places the approach in the broader research context with a chapter on theoretical perspectives. By adopting a complexity-theoretical perspective, he derives general limitations for black-box optimization, yielding lower bounds on the performance of evolutionary algorithms, and then develops general methods for deriving upper and lower bounds step by step. This main part is followed by a chapter covering practical applications of these methods. The notational and mathematical basics are covered in an appendix, the results presented are derived in detail, and each chapter ends with detailed comments and pointers to further reading. So the book is a useful reference for both graduate students and researchers engaged with the theoretical analysis of such algorithms.

Author : Franz Rothlauf,Jürgen Branke,Stefano Cagnoni,David W. Corne,Rolf Drechsler,Yaochu Jin,Penousal Machado,Elena Marchiori,George D. Smith,Juan Romero,Giovanni Squillero
Publisher : Springer Science & Business Media
Page : 648 pages
File Size : 40,5 Mb
Release : 2005-03-23
Category : Computers
ISBN : 9783540253969

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Applications of Evolutionary Computing by Franz Rothlauf,Jürgen Branke,Stefano Cagnoni,David W. Corne,Rolf Drechsler,Yaochu Jin,Penousal Machado,Elena Marchiori,George D. Smith,Juan Romero,Giovanni Squillero Pdf

This book constitutes the refereed joint proceedings of six workshops on evolutionary computing, EvoWorkshops 2005, held in Lausanne, Switzerland in March/April 2005. The 56 revised full papers presented were carefully reviewed and selected from a total of 143 submissions. In accordance with the six workshops covered, the papers are organized in topical sections on evolutionary bioinformatics; evolutionary computing in communications, networks, and connected systems; hardware optimization techniques; evolutionary computation in image analysis and signal processing; evolutionary music and art; and evolutionary algorithms in stochastic and dynamic environments.

Author : Stefano Cagnoni
Publisher : Springer Science & Business Media
Page : 213 pages
File Size : 49,7 Mb
Release : 2009-06-22
Category : Mathematics
ISBN : 9783642016356

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Evolutionary Image Analysis and Signal Processing by Stefano Cagnoni Pdf

The publication of this book on evolutionaryImage Analysis and Signal P- cessing (IASP) has two main goals. The ?rst, occasional one is to celebrate the 10th edition of EvoIASP, the workshop which has been the only event speci?cally dedicated to this topic since 1999. The second, more important one is to give an overview of the opportunities o?ered by Evolutionary C- putation (EC) techniques to computer vision,pattern recognition,and image and signal processing. It is not possible to celebrate EvoIASP properly without ?rst ackno- edging EvoNET, the EU-funded network of excellence, which has made it possible for Europe to build a strong European research community on EC. Thanks to the success of the ?rst, pioneering event organized by EvoNET, held in 1998 in Paris, it was possible to realize that not only was EC a f- tile ground for basic research but also there were several application ?elds to which EC techniques could o?er a valuable contribution. That was how the ideaofcreatingasingleevent,EvoWorkshops,outofacollectionofworkshops dedicated to applications of EC, was born. Amongst the possible application ?elds for EC, IASP was selected almost accidentally, due to the occasional presence, within EvoNET, of less than a handful of researchers who were interested in it. I would lie if I stated that the event was a great success since its very start, but it was successful enough to survive healthily for a couple of years, before reaching its present size, relevance, and popularity.

Author : Cecilia Di Chio,Stefano Cagnoni,Carlos Cotta,Marc Ebner,Aniko Ekart,Anna I. Esparcia-Alcázar,Chi-Keong Goh,Juan J. Merelo,Ferrante Neri,Mike Preuss,Julian Togelius,Georgios N. Yannakakis
Publisher : Springer
Page : 616 pages
File Size : 54,6 Mb
Release : 2010-04-03
Category : Computers
ISBN : 9783642122392

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Applications of Evolutionary Computation by Cecilia Di Chio,Stefano Cagnoni,Carlos Cotta,Marc Ebner,Aniko Ekart,Anna I. Esparcia-Alcázar,Chi-Keong Goh,Juan J. Merelo,Ferrante Neri,Mike Preuss,Julian Togelius,Georgios N. Yannakakis Pdf

Evolutionary Computation (EC) techniques are e?cient, nature-inspired me- ods based on the principles of natural evolution and genetics. Due to their - ciency and simple underlying principles, these methods can be used for a diverse rangeofactivitiesincludingproblemsolving,optimization,machinelearningand pattern recognition. A large and continuously increasing number of researchers and professionals make use of EC techniques in various application domains. This volume presents a careful selection of relevant EC examples combined with a thorough examination of the techniques used in EC. The papers in the volume illustrate the current state of the art in the application of EC and should help and inspire researchers and professionals to develop e?cient EC methods for design and problem solving. All papers in this book were presented during EvoApplications 2010, which included a range of events on application-oriented aspects of EC. Since 1998, EvoApplications — formerly known as EvoWorkshops— has provided a unique opportunity for EC researchers to meet and discuss application aspects of EC and has been an important link between EC research and its application in a variety of domains. During these 12 years, new events have arisen, some have disappeared,whileothershavematuredtobecomeconferencesoftheirown,such as EuroGP in 2000, EvoCOP in 2004, and EvoBIO in 2007. And from this year, EvoApplications has become a conference as well.

Author : Anonim
Publisher : Unknown
Page : 473 pages
File Size : 46,8 Mb
Release : 2008
Category : Electronic
ISBN : 9774540662

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Genetic and Evolutionary Computation for Image Processing and Analysis by Anonim Pdf

This book is the first attempt to offer a panoramic view on genetic and evolutionary computation (GEC) techniques, by describing applications of most mainstream GEC techniques to a wide range of problems in image processing and analysis from low-level image processing to high-level image analysis in advanced computer vision applications.

Author : Mario Giacobini
Publisher : Springer Science & Business Media
Page : 724 pages
File Size : 45,8 Mb
Release : 2008-03-14
Category : Computers
ISBN : 9783540787600

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Applications of Evolutionary Computing by Mario Giacobini Pdf

This book constitutes the refereed joint proceedings of eight European workshops on the Theory and Applications of Evolutionary Computation, EvoWorkshops 2008, held in Naples, Italy, in March 2008 within the scope of the EvoStar 2008 event. The 57 revised full papers and 18 revised short papers presented were carefully reviewed and selected from a total of 133 submissions. In accordance with the eight workshops covered, the papers are organized in topical sections on application of nature-inspired techniques to telecommunication networks and other connected systems, evolutionary computation in finance and economics, bio-inspired heuristics for design automation, evolutionary computation in image analysis and signal processing, evolutionary and biologically inspired music, sound, art and design, bio-inspired algorithms for continuous parameter optimization, evolutionary algorithms in stochastic and dynamic environments, theory and applications of evolutionary computation, and on evolutionary computation in transportation and logistics.