Discriminate-and-Rectify Encoders: Learning from Image Transformation Sets
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 transformations. While drastically altering the visual appearance, these changes...
Main Authors: | , , |
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Format: | Technical Report |
Language: | en_US |
Published: |
Center for Brains, Minds and Machines (CBMM), arXiv
2017
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Subjects: | |
Online Access: | http://hdl.handle.net/1721.1/107446 |