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Discriminate-and-Rectify Encoders: Learning from Image Transformation Sets
(Center for Brains, Minds and Machines (CBMM), arXiv, 2017-03-13)
The complexity of a learning task is increased by transformations in the input space that preserve class identity. Visual object recognition for example is affected by changes in viewpoint, scale, illumination or planar ...
(Center for Brains, Minds and Machines (CBMM), 2017-05-26)
The properties of a representation, such as smoothness, adaptability, generality, equivari- ance/invariance, depend on restrictions imposed during learning. In this paper, we propose using data symmetries, in the sense of ...