Applied statistics: a first course
Applied statistics: a first course
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
Advances in genetic programming
Recombination, selection, and the genetic construction of computer programs
Recombination, selection, and the genetic construction of computer programs
Machine learning and image interpretation
Machine learning and image interpretation
Genetic programming: an introduction: on the automatic evolution of computer programs and its applications
Target detection in SAR imagery by genetic programming
Advances in Engineering Software
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
Data Mining: Introductory and Advanced Topics
Data Mining: Introductory and Advanced Topics
Computer Vision: A Modern Approach
Computer Vision: A Modern Approach
A Contolled Experiment: Evolution for Learning Difficult Image Classification
EPIA '95 Proceedings of the 7th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
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 Feature Discovery and Image Discrimination
Proceedings of the 5th International Conference on Genetic Algorithms
Exploring some Commercial Applications of Genetic Programming
Selected Papers from AISB Workshop on Evolutionary Computing
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Evolutionary Synthesis of Pattern Recognition Systems (Monographs in Computer Science)
Evolutionary Synthesis of Pattern Recognition Systems (Monographs in Computer Science)
Identification of weak motifs in multiple biological sequences using genetic algorithm
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Preface: Introduction to the special issue on evolutionary computer vision and image understanding
Pattern Recognition Letters - Special issue: 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
Using learning to facilitate the evolution of features for recognizing visual concepts
Evolutionary Computation
Genetic and Evolutionary Computation for Image Processing and Analysis
Genetic and Evolutionary Computation for Image Processing and Analysis
EuroGP'05 Proceedings of the 8th European conference on Genetic Programming
Understanding evolved genetic programs for a real world object detection problem
EuroGP'05 Proceedings of the 8th European conference on Genetic Programming
Comparison of the effectiveness of decimation and automatically defined functions
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Application of genetic programming for multicategory patternclassification
IEEE Transactions on Evolutionary Computation
A novel approach to design classifiers using genetic programming
IEEE Transactions on Evolutionary Computation
Visual learning by coevolutionary feature synthesis
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A new evolutionary system for evolving artificial neural networks
IEEE Transactions on Neural Networks
Underwater target classification using wavelet packets and neural networks
IEEE Transactions on Neural Networks
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
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This paper describes an approach to the use of genetic programming (GP) to multi-class object recognition problems. Rather than using the standard tree structures to represent evolved classifier programs which only produce a single output value that must be further translated into a set of class labels, this approach uses a linear structure to represent evolved programs, which use multiple target registers each for a single class. The simple error rate fitness function is refined and a new fitness function is introduced to approximate the true feature space of an object recognition problem. This approach is examined and compared with the tree based GP on three data sets providing object recognition problems of increasing difficulty. The results show that this approach outperforms the standard tree based GP approach on all the tasks investigated here and that the programs evolved by this approach are easier to interpret. The investigation into the extra target registers and program length results in heuristic guidelines for initially setting system parameters.