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Index
Cover
Front Matter
1. Introduction
2. Computer Vision and Machine Learning
3. Evolutionary Computation and Genetic Programming
4. Multi-layer Representation for Binary Image Classification
5. Evolutionary Deep Learning Using GP with Convolution Operators
6. GP with Image Descriptors for Learning Global and Local Features
7. GP with Image-Related Operators for Feature Learning
8. GP for Simultaneous Feature Learning and Ensemble Learning
9. Random Forest-Assisted GP for Feature Learning
10. Conclusions and Future Directions
Back Matter
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