Evolution of image filters on graphics processor units using Cartesian Genetic Programming

By Simon Harding. 2008

59 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Molecular Biology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Masanori Suganuma
2. Shinichi Shirakawa
3. Tomoharu Nagao
4. Mengjie Zhang
5. Bing Xue
6. Yanan Sun
7. Gary G. Yen
8. Frank Hutter

In Molecular Biology

1. Shinichi Shirakawa
2. Tomoharu Nagao
3. Masanori Suganuma

Citations in the corpus

• A genetic programming approach to designing convolutional neural network architectures (2017, methodology): “the use of highly functional modules as a minimum unit is promising. In this paper, we attempt to design CNN architectures based on genetic programming. We use the Cartesian genetic programming (CGP) [8, 22, 23] encoding scheme, one of the direct encoding schemes, to represent the CNN structure and ”
• Evolving simple programs for playing atari games (2018, unknown): “Finally, Harding [4] demonstrated the ability to use GPUs with CGP for improved performance in image processing tasks.”