Discriminate-and-Rectify Encoders: Learning from Image Transformation Sets

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...

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Bibliographic Details
Main Authors: Tachetti, Andrea, Voinea, Stephen, Evangelopoulos, Georgios
Format: Technical Report
Language:en_US
Published: Center for Brains, Minds and Machines (CBMM), arXiv 2017
Subjects:
supervised learning
object recognition
machine learning
Online Access:http://hdl.handle.net/1721.1/107446

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