The Resource Evolutionary Image Analysis and Signal Processing, edited by Stefano Cagnoni, (electronic resource)
Evolutionary Image Analysis and Signal Processing, edited by Stefano Cagnoni, (electronic resource)
Resource Information
The item Evolutionary Image Analysis and Signal Processing, edited by Stefano Cagnoni, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Missouri University of Science & Technology Library.This item is available to borrow from 1 library branch.
Resource Information
The item Evolutionary Image Analysis and Signal Processing, edited by Stefano Cagnoni, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Missouri University of Science & Technology Library.
This item is available to borrow from 1 library branch.
- Summary
-
- This book on Evolutionary Image Analysis and Signal Processing, besides celebrating ten years of EvoIASP, the only event specifically dedicated to this topic since 1999, offers readers a panoramic view of what can be presently achieved using Evolutionary Computation techniques in computer vision, pattern recognition, and image and signal processing. Its chapters mostly consist of extended versions of a selection of papers which were presented at recent editions of EvoIASP. The book includes examples which span, rather uniformly, the whole range of roles Evolutionary Computation techniques may have in such applications, from representing optimization tools used to tune or refine parameters or components of a mostly predefined solution up to situations where the solution itself is intrinsically evolutionary
- This book on Evolutionary Image Analysis and Signal Processing, besides celebrating ten years of EvoIASP, the only event specifically dedicated to this topic since 1999, offers readers a panoramic view of what can be presently achieved using Evolutionary Computation techniques in computer vision, pattern recognition, and image and signal processing. Its chapters mostly consist of extended versions of a selection of papers which were presented at recent editions of EvoIASP. The book includes examples which span, rather uniformly, the whole range of roles Evolutionary Computation techniques may have in such applications, from representing optimization tools used to tune or refine parameters or components of a mostly predefined solution up to situations where the solution itself is intrinsically evolutionary
- This book on Evolutionary Image Analysis and Signal Processing, besides celebrating ten years of EvoIASP, the only event specifically dedicated to this topic since 1999, offers readers a panoramic view of what can be presently achieved using Evolutionary Computation techniques in computer vision, pattern recognition, and image and signal processing. Its chapters mostly consist of extended versions of a selection of papers which were presented at recent editions of EvoIASP. The book includes examples which span, rather uniformly, the whole range of roles Evolutionary Computation techniques may have in such applications, from representing optimization tools used to tune or refine parameters or components of a mostly predefined solution up to situations where the solution itself is intrinsically evolutionary
- This book on Evolutionary Image Analysis and Signal Processing, besides celebrating ten years of EvoIASP, the only event specifically dedicated to this topic since 1999, offers readers a panoramic view of what can be presently achieved using Evolutionary Computation techniques in computer vision, pattern recognition, and image and signal processing. Its chapters mostly consist of extended versions of a selection of papers which were presented at recent editions of EvoIASP. The book includes examples which span, rather uniformly, the whole range of roles Evolutionary Computation techniques may have in such applications, from representing optimization tools used to tune or refine parameters or components of a mostly predefined solution up to situations where the solution itself is intrinsically evolutionary
- Annotation:
- Language
- eng
- Contents
-
- Texture image segmentation using an interactive evolutionary approach.-Detecting scale invariant regions using evolved image operators -- Online Evolvable Pattern Recognition Hardware -- A Variant Program Structure in Tree-Based Genetic Programming for Multiclass Object Classification -- Genetic Programming for Generative Learning and Recognition of Hand-Drawn Shapes -- Optimizing A Medical Image Analysis System Using Mixed-Integer Evolution Strategies -- Memetic Differential Evolution Frameworks in Filter Design for Defect Detection in Paper Production -- Fast Genetic Scan Matching in Mobile Robotics -- Distributed Differential Evolution for the Registration of Satellite and Multimodal Medical Imagery -- Euclidean Distance Fit of Conics using Differential Evolution -- An Evolutionary FIR Filter Design Method
- Texture image segmentation using an interactive evolutionary approach.-Detecting scale invariant regions using evolved image operators -- Online Evolvable Pattern Recognition Hardware -- A Variant Program Structure in Tree-Based Genetic Programming for Multiclass Object Classification -- Genetic Programming for Generative Learning and Recognition of Hand-Drawn Shapes -- Optimizing A Medical Image Analysis System Using Mixed-Integer Evolution Strategies -- Memetic Differential Evolution Frameworks in Filter Design for Defect Detection in Paper Production -- Fast Genetic Scan Matching in Mobile Robotics -- Distributed Differential Evolution for the Registration of Satellite and Multimodal Medical Imagery -- Euclidean Distance Fit of Conics using Differential Evolution -- An Evolutionary FIR Filter Design Method
- Texture image segmentation using an interactive evolutionary approach.-Detecting scale invariant regions using evolved image operators -- Online Evolvable Pattern Recognition Hardware -- A Variant Program Structure in Tree-Based Genetic Programming for Multiclass Object Classification -- Genetic Programming for Generative Learning and Recognition of Hand-Drawn Shapes -- Optimizing A Medical Image Analysis System Using Mixed-Integer Evolution Strategies -- Memetic Differential Evolution Frameworks in Filter Design for Defect Detection in Paper Production -- Fast Genetic Scan Matching in Mobile Robotics -- Distributed Differential Evolution for the Registration of Satellite and Multimodal Medical Imagery -- Euclidean Distance Fit of Conics using Differential Evolution -- An Evolutionary FIR Filter Design Method
- Texture image segmentation using an interactive evolutionary approach.-Detecting scale invariant regions using evolved image operators -- Online Evolvable Pattern Recognition Hardware -- A Variant Program Structure in Tree-Based Genetic Programming for Multiclass Object Classification -- Genetic Programming for Generative Learning and Recognition of Hand-Drawn Shapes -- Optimizing A Medical Image Analysis System Using Mixed-Integer Evolution Strategies -- Memetic Differential Evolution Frameworks in Filter Design for Defect Detection in Paper Production -- Fast Genetic Scan Matching in Mobile Robotics -- Distributed Differential Evolution for the Registration of Satellite and Multimodal Medical Imagery -- Euclidean Distance Fit of Conics using Differential Evolution -- An Evolutionary FIR Filter Design Method
- Isbn
- 9783642016356
- Label
- Evolutionary Image Analysis and Signal Processing
- Title
- Evolutionary Image Analysis and Signal Processing
- Statement of responsibility
- edited by Stefano Cagnoni
- Language
- eng
- Summary
-
- This book on Evolutionary Image Analysis and Signal Processing, besides celebrating ten years of EvoIASP, the only event specifically dedicated to this topic since 1999, offers readers a panoramic view of what can be presently achieved using Evolutionary Computation techniques in computer vision, pattern recognition, and image and signal processing. Its chapters mostly consist of extended versions of a selection of papers which were presented at recent editions of EvoIASP. The book includes examples which span, rather uniformly, the whole range of roles Evolutionary Computation techniques may have in such applications, from representing optimization tools used to tune or refine parameters or components of a mostly predefined solution up to situations where the solution itself is intrinsically evolutionary
- This book on Evolutionary Image Analysis and Signal Processing, besides celebrating ten years of EvoIASP, the only event specifically dedicated to this topic since 1999, offers readers a panoramic view of what can be presently achieved using Evolutionary Computation techniques in computer vision, pattern recognition, and image and signal processing. Its chapters mostly consist of extended versions of a selection of papers which were presented at recent editions of EvoIASP. The book includes examples which span, rather uniformly, the whole range of roles Evolutionary Computation techniques may have in such applications, from representing optimization tools used to tune or refine parameters or components of a mostly predefined solution up to situations where the solution itself is intrinsically evolutionary
- This book on Evolutionary Image Analysis and Signal Processing, besides celebrating ten years of EvoIASP, the only event specifically dedicated to this topic since 1999, offers readers a panoramic view of what can be presently achieved using Evolutionary Computation techniques in computer vision, pattern recognition, and image and signal processing. Its chapters mostly consist of extended versions of a selection of papers which were presented at recent editions of EvoIASP. The book includes examples which span, rather uniformly, the whole range of roles Evolutionary Computation techniques may have in such applications, from representing optimization tools used to tune or refine parameters or components of a mostly predefined solution up to situations where the solution itself is intrinsically evolutionary
- This book on Evolutionary Image Analysis and Signal Processing, besides celebrating ten years of EvoIASP, the only event specifically dedicated to this topic since 1999, offers readers a panoramic view of what can be presently achieved using Evolutionary Computation techniques in computer vision, pattern recognition, and image and signal processing. Its chapters mostly consist of extended versions of a selection of papers which were presented at recent editions of EvoIASP. The book includes examples which span, rather uniformly, the whole range of roles Evolutionary Computation techniques may have in such applications, from representing optimization tools used to tune or refine parameters or components of a mostly predefined solution up to situations where the solution itself is intrinsically evolutionary
- Annotation:
- http://library.link/vocab/creatorName
- Cagnoni, Stefano
- Dewey number
- 519
- LC call number
-
- TA329-348
- TA640-643
- http://library.link/vocab/relatedWorkOrContributorName
- SpringerLink (Online service)
- Series statement
- Studies in Computational Intelligence,
- Series volume
- 213
- http://library.link/vocab/subjectName
-
- Engineering
- Artificial intelligence
- Engineering mathematics
- Engineering
- Appl.Mathematics/Computational Methods of Engineering
- Signal, Image and Speech Processing
- Artificial Intelligence (incl. Robotics)
- Summary expansion
- This book on Evolutionary Image Analysis and Signal Processing, besides celebrating ten years of EvoIASP, the only event specifically dedicated to this topic since 1999, offers readers a panoramic view of what can be presently achieved using Evolutionary Computation techniques in computer vision, pattern recognition, and image and signal processing.Its chapters mostly consist of extended versions of a selection of papers which were presented at recent editions of EvoIASP. The book includes examples which span, rather uniformly, the whole range of roles Evolutionary Computation techniques may have in such applications, from representing optimization tools used to tune or refine parameters or components of a mostly predefined solution up to situations where the solution itself is intrinsically evolutionary
- Label
- Evolutionary Image Analysis and Signal Processing, edited by Stefano Cagnoni, (electronic resource)
- Contents
-
- Texture image segmentation using an interactive evolutionary approach.-Detecting scale invariant regions using evolved image operators -- Online Evolvable Pattern Recognition Hardware -- A Variant Program Structure in Tree-Based Genetic Programming for Multiclass Object Classification -- Genetic Programming for Generative Learning and Recognition of Hand-Drawn Shapes -- Optimizing A Medical Image Analysis System Using Mixed-Integer Evolution Strategies -- Memetic Differential Evolution Frameworks in Filter Design for Defect Detection in Paper Production -- Fast Genetic Scan Matching in Mobile Robotics -- Distributed Differential Evolution for the Registration of Satellite and Multimodal Medical Imagery -- Euclidean Distance Fit of Conics using Differential Evolution -- An Evolutionary FIR Filter Design Method
- Texture image segmentation using an interactive evolutionary approach.-Detecting scale invariant regions using evolved image operators -- Online Evolvable Pattern Recognition Hardware -- A Variant Program Structure in Tree-Based Genetic Programming for Multiclass Object Classification -- Genetic Programming for Generative Learning and Recognition of Hand-Drawn Shapes -- Optimizing A Medical Image Analysis System Using Mixed-Integer Evolution Strategies -- Memetic Differential Evolution Frameworks in Filter Design for Defect Detection in Paper Production -- Fast Genetic Scan Matching in Mobile Robotics -- Distributed Differential Evolution for the Registration of Satellite and Multimodal Medical Imagery -- Euclidean Distance Fit of Conics using Differential Evolution -- An Evolutionary FIR Filter Design Method
- Texture image segmentation using an interactive evolutionary approach.-Detecting scale invariant regions using evolved image operators -- Online Evolvable Pattern Recognition Hardware -- A Variant Program Structure in Tree-Based Genetic Programming for Multiclass Object Classification -- Genetic Programming for Generative Learning and Recognition of Hand-Drawn Shapes -- Optimizing A Medical Image Analysis System Using Mixed-Integer Evolution Strategies -- Memetic Differential Evolution Frameworks in Filter Design for Defect Detection in Paper Production -- Fast Genetic Scan Matching in Mobile Robotics -- Distributed Differential Evolution for the Registration of Satellite and Multimodal Medical Imagery -- Euclidean Distance Fit of Conics using Differential Evolution -- An Evolutionary FIR Filter Design Method
- Texture image segmentation using an interactive evolutionary approach.-Detecting scale invariant regions using evolved image operators -- Online Evolvable Pattern Recognition Hardware -- A Variant Program Structure in Tree-Based Genetic Programming for Multiclass Object Classification -- Genetic Programming for Generative Learning and Recognition of Hand-Drawn Shapes -- Optimizing A Medical Image Analysis System Using Mixed-Integer Evolution Strategies -- Memetic Differential Evolution Frameworks in Filter Design for Defect Detection in Paper Production -- Fast Genetic Scan Matching in Mobile Robotics -- Distributed Differential Evolution for the Registration of Satellite and Multimodal Medical Imagery -- Euclidean Distance Fit of Conics using Differential Evolution -- An Evolutionary FIR Filter Design Method
- Control code
- OCM1bookssj0000317583
- Dimensions
- unknown
- Isbn
- 9783642016356
- Isbn Type
- (print)
- Other control number
- 10.1007/978-3-642-01636-3
- Specific material designation
- remote
- System control number
- (WaSeSS)bookssj0000317583
- Label
- Evolutionary Image Analysis and Signal Processing, edited by Stefano Cagnoni, (electronic resource)
- Contents
-
- Texture image segmentation using an interactive evolutionary approach.-Detecting scale invariant regions using evolved image operators -- Online Evolvable Pattern Recognition Hardware -- A Variant Program Structure in Tree-Based Genetic Programming for Multiclass Object Classification -- Genetic Programming for Generative Learning and Recognition of Hand-Drawn Shapes -- Optimizing A Medical Image Analysis System Using Mixed-Integer Evolution Strategies -- Memetic Differential Evolution Frameworks in Filter Design for Defect Detection in Paper Production -- Fast Genetic Scan Matching in Mobile Robotics -- Distributed Differential Evolution for the Registration of Satellite and Multimodal Medical Imagery -- Euclidean Distance Fit of Conics using Differential Evolution -- An Evolutionary FIR Filter Design Method
- Texture image segmentation using an interactive evolutionary approach.-Detecting scale invariant regions using evolved image operators -- Online Evolvable Pattern Recognition Hardware -- A Variant Program Structure in Tree-Based Genetic Programming for Multiclass Object Classification -- Genetic Programming for Generative Learning and Recognition of Hand-Drawn Shapes -- Optimizing A Medical Image Analysis System Using Mixed-Integer Evolution Strategies -- Memetic Differential Evolution Frameworks in Filter Design for Defect Detection in Paper Production -- Fast Genetic Scan Matching in Mobile Robotics -- Distributed Differential Evolution for the Registration of Satellite and Multimodal Medical Imagery -- Euclidean Distance Fit of Conics using Differential Evolution -- An Evolutionary FIR Filter Design Method
- Texture image segmentation using an interactive evolutionary approach.-Detecting scale invariant regions using evolved image operators -- Online Evolvable Pattern Recognition Hardware -- A Variant Program Structure in Tree-Based Genetic Programming for Multiclass Object Classification -- Genetic Programming for Generative Learning and Recognition of Hand-Drawn Shapes -- Optimizing A Medical Image Analysis System Using Mixed-Integer Evolution Strategies -- Memetic Differential Evolution Frameworks in Filter Design for Defect Detection in Paper Production -- Fast Genetic Scan Matching in Mobile Robotics -- Distributed Differential Evolution for the Registration of Satellite and Multimodal Medical Imagery -- Euclidean Distance Fit of Conics using Differential Evolution -- An Evolutionary FIR Filter Design Method
- Texture image segmentation using an interactive evolutionary approach.-Detecting scale invariant regions using evolved image operators -- Online Evolvable Pattern Recognition Hardware -- A Variant Program Structure in Tree-Based Genetic Programming for Multiclass Object Classification -- Genetic Programming for Generative Learning and Recognition of Hand-Drawn Shapes -- Optimizing A Medical Image Analysis System Using Mixed-Integer Evolution Strategies -- Memetic Differential Evolution Frameworks in Filter Design for Defect Detection in Paper Production -- Fast Genetic Scan Matching in Mobile Robotics -- Distributed Differential Evolution for the Registration of Satellite and Multimodal Medical Imagery -- Euclidean Distance Fit of Conics using Differential Evolution -- An Evolutionary FIR Filter Design Method
- Control code
- OCM1bookssj0000317583
- Dimensions
- unknown
- Isbn
- 9783642016356
- Isbn Type
- (print)
- Other control number
- 10.1007/978-3-642-01636-3
- Specific material designation
- remote
- System control number
- (WaSeSS)bookssj0000317583
Subject
- Artificial Intelligence (incl. Robotics)
- Artificial intelligence
- Engineering
- Engineering mathematics
- Evolutionary Computation
- Imaging Systems
- Signal Processing
- Signal, Image and Speech Processing
- Telecommunication -- Data Processing
- Appl.Mathematics/Computational Methods of Engineering
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.mst.edu/portal/Evolutionary-Image-Analysis-and-Signal/RlKfYlyjpMg/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.mst.edu/portal/Evolutionary-Image-Analysis-and-Signal/RlKfYlyjpMg/">Evolutionary Image Analysis and Signal Processing, edited by Stefano Cagnoni, (electronic resource)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.mst.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.mst.edu/">Missouri University of Science & Technology Library</a></span></span></span></span></div>
