Transformation of redundant representations of linear genetic programming into canonical forms for efficient extraction of image features.
Ukrit WatchareeruetaiYoshinori TakeuchiTetsuya MatsumotoHiroaki KudoNoboru OhnishiPublished in: IEEE Congress on Evolutionary Computation (2008)
Keyphrases
- genetic programming
- image features
- fitness function
- symbolic regression
- object recognition
- information systems
- image classification
- computationally efficient
- gene expression programming
- grammar guided genetic programming
- computer vision
- reinforcement learning
- feature vectors
- evolutionary computation
- computationally expensive
- canonical form