• Corpus ID: 37928675

Toward predictive machine learning for active vision

@article{Dauc2017TowardPM,
  title={Toward predictive machine learning for active vision},
  author={Emmanuel Dauc{\'e}},
  journal={ArXiv},
  year={2017},
  volume={abs/1710.10460}
}
  • E. Daucé
  • Published 28 October 2017
  • Computer Science
  • ArXiv
We develop a comprehensive description of the active inference framework, as proposed by Friston (2010), under a machine-learning compliant perspective. Stemming from a biological inspiration and the auto-encoding principles, the sketch of a cognitive architecture is proposed that should provide ways to implement estimation-oriented control policies. Computer simulations illustrate the effectiveness of the approach through a foveated inspection of the input data. The pros and cons of the… 

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