Cross-domain reuse of extracted knowledge in genetic programming for image classification
Genetic programming (GP) is a well-known evolutionary computation technique, which has
been successfully used to solve various problems, such as optimization, image analysis …
been successfully used to solve various problems, such as optimization, image analysis …
Genetic programming with transfer learning for texture image classification
Genetic programming (GP) represents a well-known and widely used evolutionary
computation technique that has shown promising results in optimisation, classification, and …
computation technique that has shown promising results in optimisation, classification, and …
Artificial bee colony programming descriptor for multi-class texture classification
Featured Application Texture classification aims to identify textures using few samples. Local
Binary Pattern (LBP) and GP-descriptor are most used texture classification algorithms …
Binary Pattern (LBP) and GP-descriptor are most used texture classification algorithms …
A region adaptive image classification approach using genetic programming
Feature extraction, as one essential step of image classification, can potentially reduce
image data dimensionality and capture effective information for improving performance …
image data dimensionality and capture effective information for improving performance …
Automated design of feature extraction for unsupervised image clustering using grammatical evolution
M Gerber, N Pillay - 2022 IEEE Symposium Series on …, 2022 - ieeexplore.ieee.org
When doing image processing it has been shown that the use of an appropriate feature
extraction function can result in a significant boost in performance. Selecting or creating the …
extraction function can result in a significant boost in performance. Selecting or creating the …
Improving Genetic Programming for Image Classification
Q Fan - 2024 - openaccess.wgtn.ac.nz
Image classification is a fundamental task in computer vision. Due to the high dimensionality
of the image data and high variations across images such as rotation, scale, illumination …
of the image data and high variations across images such as rotation, scale, illumination …