Classification Strategies for Image Classification in Genetic Programming
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Summary
The results suggest that, while the static boundary selection method works well on relatively easy binary or tertiary image classification problems with class labels arranged in the natural order, the two dynamic range selection methods outperform the static method for more difficult, multiple class problems.
- Type
- article
- Published
- 2003-01-01
- Cited by
- 54
- References
- 12
- OpenAlex
- https://openalex.org/W75892284
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:17124411
Keywords
Genetic programming, Computer science, Artificial intelligence, Selection (genetic algorithm), Class (philosophy)
References
- Recombination, selection, and the genetic construction of computer programs
- Genetic Programming for Feature Discovery and Image Discrimination
- Genetic Programming: On the Programming of Computers by Means of Natural Selection
- Representing classification problems in genetic programming
- Target detection in SAR imagery by genetic programming
- Texture classifiers generated by genetic programming
- Genetic programming - An Introduction: On the Automatic Evolution of Computer Programs and Its Applications
- Genetic Programming II: Automatic Discovery of Reusable Programs.
- A Domain-Independent Window Approach to Multiclass Object Detection Using Genetic Programming
- Genetic Programming for Multiple Class Object Detection
- Pixel Statistics and False Alarm Area in Genetic Programming for Object Detection
- EURASIP Journal on Applied Signal Processing 2003:8, 841–859 c ○ 2003 Hindawi Publishing Corporation A Domain-Independent Window Approach to Multiclass Object Detection Using Genetic Programming
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- Two improvements in genetic programming for image classification
- Buddhist amulet coin recognition by genetic algorithm
- A new evaluation measure for color image segmentation based on genetic programming approach
- Agricultural produce grading by computer vision using Genetic Programming
- Binary Image Classification: A Genetic Programming Approach to the Problem of Limited Training Instances
- Exploring boundaries: optimising individual class boundaries for binary classification problem
- Using Gaussian distribution to construct fitness functions in genetic programming for multiclass object classification
- Two layered Genetic Programming for mixed-attribute data classification
- Low-Level Feature Extraction for Edge Detection Using Genetic Programming
- Multi-Objective Genetic Programming for object detection
- Two-stage learning for multi-class classification using genetic programming
- A linear structured approach and a refined fitness function in genetic programming for multi-class object classification
- Drawing boundaries: using individual evolved class boundaries for binary classification problems
- Automatic feature extraction and image classification using genetic programming
- Using unrestricted loops in genetic programming for image classification
- Multiclass object classification for computer vision using Linear Genetic Programming
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- Genetic Programming: On the Programming of Computers by Means of Natural Selection
- Genetic Programming for Feature Discovery and Image Discrimination
- Representing classification problems in genetic programming
- A Domain-Independent Window Approach to Multiclass Object Detection Using Genetic Programming
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