Genetic Programming For Image Classification
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Genetic Programming For Image Classification
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Author : Ying Bi
language : en
Publisher: Springer Nature
Release Date : 2021-02-08
Genetic Programming For Image Classification written by Ying Bi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-08 with Technology & Engineering categories.
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.
Genetic And Evolutionary Computation For Image Processing And Analysis
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Author : Stefano Cagnoni
language : en
Publisher: Hindawi Publishing Corporation
Release Date : 2008
Genetic And Evolutionary Computation For Image Processing And Analysis written by Stefano Cagnoni and has been published by Hindawi Publishing Corporation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Computer vision categories.
Genetic Programming
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Author : John R. Koza
language : en
Publisher: MIT Press
Release Date : 1992
Genetic Programming written by John R. Koza and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Computers categories.
In this ground-breaking book, John Koza shows how this remarkable paradigm works and provides substantial empirical evidence that solutions to a great variety of problems from many different fields can be found by genetically breeding populations of computer programs. Genetic programming may be more powerful than neural networks and other machine learning techniques, able to solve problems in a wider range of disciplines. In this ground-breaking book, John Koza shows how this remarkable paradigm works and provides substantial empirical evidence that solutions to a great variety of problems from many different fields can be found by genetically breeding populations of computer programs. Genetic Programming contains a great many worked examples and includes a sample computer code that will allow readers to run their own programs.In getting computers to solve problems without being explicitly programmed, Koza stresses two points: that seemingly different problems from a variety of fields can be reformulated as problems of program induction, and that the recently developed genetic programming paradigm provides a way to search the space of possible computer programs for a highly fit individual computer program to solve the problems of program induction. Good programs are found by evolving them in a computer against a fitness measure instead of by sitting down and writing them.
Gpis Genetic Programming Based Image Segmentation With Applications To Biomedical Object Detection
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Author : Tarundeep Singh Dhot
language : en
Publisher:
Release Date : 2009
Gpis Genetic Programming Based Image Segmentation With Applications To Biomedical Object Detection written by Tarundeep Singh Dhot and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.
Image segmentation plays a critical role in many image analysis applications. However, it is ill-defined in nature and remains one of the most intractable problems in image processing. In this thesis, we propose a genetic programming based algorithm for image segmentation (GPIS). Typically, genetic programming is a Darwinian-evolution inspired program discovery method and in the past it has been successfully used as an automatic programming tool. We make use of this property of GP to evolve efficient and accurate image segmentation programs from a pool of basic image analysis operators. In addition, we provide no a priori information about that nature of the images to the GP. The algorithm was tested on two separate medical image databases and results show the proposed GP's ability to adapt and produce short and accurate segmentation algorithms, irrespective of the database in use. We compared our results with a popular GA based image segmentation/classification system, GENIE Pro. We found that our proposed algorithm produced accurate image segmentations performed consistently on both databases and could possibly be extended to other image databases as a general-purpose image segmentation tool.
Cartesian Genetic Programming
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Author : Julian F. Miller
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-09-18
Cartesian Genetic Programming written by Julian F. Miller 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 2011-09-18 with Computers categories.
Cartesian Genetic Programming (CGP) is a highly effective and increasingly popular form of genetic programming. It represents programs in the form of directed graphs, and a particular characteristic is that it has a highly redundant genotype–phenotype mapping, in that genes can be noncoding. It has spawned a number of new forms, each improving on the efficiency, among them modular, or embedded, CGP, and self-modifying CGP. It has been applied to many problems in both computer science and applied sciences. This book contains chapters written by the leading figures in the development and application of CGP, and it will be essential reading for researchers in genetic programming and for engineers and scientists solving applications using these techniques. It will also be useful for advanced undergraduates and postgraduates seeking to understand and utilize a highly efficient form of genetic programming.
Genetic And Evolutionary Computation For Image Processing And Analysis
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Author :
language : en
Publisher:
Release Date : 2008
Genetic And Evolutionary Computation For Image Processing And Analysis written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with categories.
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.
Algorithms For Image Processing And Computer Vision
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Author : Jim R. Parker
language : en
Publisher: John Wiley & Sons
Release Date : 1997
Algorithms For Image Processing And Computer Vision written by Jim R. Parker 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 1997 with Computers categories.
A cookbook of the hottest new algorithms and cutting-edge techniques in image processing and computer vision This amazing book/CD package puts the power of all the hottest new image processing techniques and algorithms in your hands. Based on J. R. Parker's exhaustive survey of Internet newsgroups worldwide, Algorithms for Image Processing and Computer Vision answers the most frequently asked questions with practical solutions. Parker uses dozens of real-life examples taken from fields such as robotics, space exploration, forensic analysis, cartography, and medical diagnostics, to clearly describe the latest techniques for morphing, advanced edge detection, wavelets, texture classification, image restoration, symbol recognition, and genetic algorithms, to name just a few. And, best of all, he implements each method covered in C and provides all the source code on the CD. For the first time, you're rescued from the hours of mind-numbing mathematical calculations it would ordinarily take to program these state-of-the-art image processing capabilities into software. At last, nonmathematicians get all the shortcuts they need for sophisticated image recognition and processing applications. On the CD-ROM you'll find: * Complete code for examples in the book * A gallery of images illustrating the results of advanced techniques * A free GNU compiler that lets you run source code on any platform * A system for restoring damaged or blurred images * A genetic algorithms package
Genetic Programming Applied To Morphological Image Processing
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Author : Marcos Iván Quintana Hernández
language : en
Publisher:
Release Date : 2004
Genetic Programming Applied To Morphological Image Processing written by Marcos Iván Quintana Hernández and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with categories.
Ai 2018 Advances In Artificial Intelligence
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Author : Tanja Mitrovic
language : en
Publisher: Springer
Release Date : 2018-12-03
Ai 2018 Advances In Artificial Intelligence written by Tanja Mitrovic and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-03 with Computers categories.
This book constitutes the proceedings of the 31st Australasian Joint Conference on Artificial Intelligence, AI 2018, held in Wellington, New Zealand, in December 2018. The 50 full and 26 short papers presented in this volume were carefully reviewed and selected from 125 submissions. The paper were organized in topical sections named: agents, games and robotics; AI applications and innovations; computer vision; constraints and search; evolutionary computation; knowledge representation and reasoning; machine learning and data mining; planning and scheduling; and text mining and NLP.
2020 Ieee Congress On Evolutionary Computation Cec
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Author : IEEE Staff
language : en
Publisher:
Release Date : 2020-07-19
2020 Ieee Congress On Evolutionary Computation Cec written by IEEE Staff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-19 with categories.
IEEE CEC is the leading event in the field of evolutionary computation, and covers all topics in evolutionary computation from theory to applications