Self-supervised learning: When is fusion of the primary and secondary sensor cue useful?

23 Sep 2017G. C. H. E. de Croon

Self-supervised learning (SSL) is a reliable learning mechanism in which a robot enhances its perceptual capabilities. Typically, in SSL a trusted, primary sensor cue provides supervised training data to a secondary sensor cue... (read more)

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