Introduction to Evolutionary Computing
Introduction to Evolutionary Computing
Pattern Recognition Letters - Special issue: Evolutionary computer vision and image understanding
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Overview of Object Detection and Image Analysis by Means of Genetic Programming Techniques
FBIT '07 Proceedings of the 2007 Frontiers in the Convergence of Bioscience and Information Technologies
Measures of complexity for artificial embryogeny
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Texture segmentation by genetic programming
Evolutionary Computation
Automated design of image operators that detect interest points
Evolutionary Computation
Genetic Image Network for Image Classification
EvoWorkshops '09 Proceedings of the EvoWorkshops 2009 on Applications of Evolutionary Computing: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoSTOC, EvoTRANSLOG
An evolutionary approach to feature function generation in application to biomedical image patterns
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Genetic programming for image analysis
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
Hyperspectral image analysis using genetic programming
Applied Soft Computing
Evolving novel image features using genetic programming-based image transforms
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
An efficient image pattern recognition system using an evolutionary search strategy
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
A survey on the application of genetic programming to classification
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A Field Guide to Genetic Programming
A Field Guide to Genetic Programming
Feature generation using genetic programming with application to fault classification
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Networks of transform-based evolvable features for object recognition
Proceedings of the 15th annual conference on Genetic and evolutionary computation
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An extension to a non-linear offline method for generating features for image recognition is introduced. It aims at generating low-level features automatically when provided with some arbitrary image database. First, a general representation of prioritized pixel-neighbourhoods is described. Next, genetic programming is used to specify functions on those representations. The result is a set of transformations on the space of grayscale images. These transforms are utilized as a step in a classification process, and evolved in an evolutionary algorithm. The technique is shown to match the efficiency of the state-of-the-art on a medical image classification task. Further, the approach is shown to self-select an appropriate solution structure and complexity. Finally, we show that competitive co-evolution is a viable means of combating over-fitting. It is concluded that the technique generally shows good promise for the creation of novel image features in situations where pixel-level features are complex or unknown, such as medical images.