Visual Learning by Evolutionary Feature Synthesis

  title={Visual Learning by Evolutionary Feature Synthesis},
  author={Krzysztof Krawiec and Bir Bhanu},
In this paper, we present a novel method for learning complex concepts/hypotheses directly from raw training data. The task addressed here concerns data-driven synthesis of recognition procedures for real-world object recognition task. The method uses linear genetic programming to encode potential solutions expressed in terms of elementary operations, and handles the complexity of the learning task by applying cooperative coevolution to decompose the problem automatically. The training consists… CONTINUE READING
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