Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Genetic programming (videotape): the movie
Genetic programming (videotape): the movie
Genetic programming II: automatic discovery of reusable programs
Genetic programming II: automatic discovery of reusable programs
Recombination, selection, and the genetic construction of computer programs
Recombination, selection, and the genetic construction of computer programs
Genetic programming: an introduction: on the automatic evolution of computer programs and its applications
From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose
IEEE Transactions on Pattern Analysis and Machine Intelligence
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
The Boru Data Crawler for Object Detection Tasks in Machine Vision
Proceedings of the Applications of Evolutionary Computing on EvoWorkshops 2002: EvoCOP, EvoIASP, EvoSTIM/EvoPLAN
Genetic Programming for Multiple Class Object Detection
AI '99 Proceedings of the 12th Australian Joint Conference on Artificial Intelligence: Advanced Topics in Artificial Intelligence
Towards Genetic Programming for Texture Classification
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
A Comparison of Genetic Programming Variants for Data Classification
IDA '99 Proceedings of the Third International Symposium on Advances in Intelligent Data Analysis
Preface: Introduction to the special issue on evolutionary computer vision and image understanding
Pattern Recognition Letters - Special issue: Evolutionary computer vision and image understanding
A domain-independentwindow approach to multiclass object detection using genetic programming
EURASIP Journal on Applied Signal Processing
Visual learning by coevolutionary feature synthesis
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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This paper describes a linear genetic programming approach to multi-class image recognition problems. A new fitness function is introduced to approximate the true feature space. The results show that this approach outperforms the basic tree based genetic programming approach on all the tasks investigated here and that the programs evolved by this approach are easier to interpret. The investigation on the extra registers and program length results in heuristic guidelines for initially setting system parameters.