Synthesis of interest point detectors through genetic programming
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Visual learning of texture descriptors for facial expression recognition in thermal imagery
Computer Vision and Image Understanding
Genetic programming for cross-task knowledge sharing
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Knowledge reuse in genetic programming applied to visual learning
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Generative learning of visual concepts using multiobjective genetic programming
Pattern Recognition Letters
Connection Science - Evolutionary Learning and Optimisation
Multitask visual learning using genetic programming
Evolutionary Computation
Evolutionary learning of local descriptor operators for object recognition
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Learning and Recognition of Hand-Drawn Shapes Using Generative Genetic Programming
Proceedings of the 2007 EvoWorkshops 2007 on EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog: Applications of Evolutionary Computing
Genetic Programming for Image Recognition: An LGP Approach
Proceedings of the 2007 EvoWorkshops 2007 on EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog: Applications of Evolutionary Computing
Analytical features: a knowledge-based approach to audio feature generation
EURASIP Journal on Audio, Speech, and Music Processing
Evolving Co-Adapted Subcomponents in Assembler Encoding
International Journal of Applied Mathematics and Computer Science
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
Feature construction and dimension reduction using genetic programming
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
Fitness functions in genetic programming for classification with unbalanced data
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
EuroGP'08 Proceedings of the 11th European conference on Genetic programming
Genetic Programming and Evolvable Machines
Learning high-level visual concepts using attributed primitives and genetic programming
EuroGP'06 Proceedings of the 2006 international conference on Applications of Evolutionary Computing
Advances in detecting parkinson's disease
ICMB'10 Proceedings of the Second international conference on Medical Biometrics
Genetic graph programming for object detection
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Interest point detection through multiobjective genetic programming
Applied Soft Computing
Evolving estimators of the pointwise Hölder exponent with Genetic Programming
Information Sciences: an International Journal
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Detection of protein conformation defects from fluorescence microscopy images
Engineering Applications of Artificial Intelligence
Solving the pole balancing problem by means of assembler encoding
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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In this paper, a novel genetically inspired visual learning method is proposed. Given the training raster images, this general approach induces a sophisticated feature-based recognition system. It employs the paradigm of cooperative coevolution to handle the computational difficulty of this task. To represent the feature extraction agents, the linear genetic programming is used. The paper describes the learning algorithm and provides a firm rationale for its design. Different architectures of recognition systems are considered that employ the proposed feature synthesis method. An extensive experimental evaluation on the demanding real-world task of object recognition in synthetic aperture radar (SAR) imagery shows the ability of the proposed approach to attain high recognition performance in different operating conditions.