On Invariance and Selectivity in Representation Learning

  • Anselmi F
  • Rosasco L
  • Poggio T
  • 68

    Readers

    Mendeley users who have this article in their library.
  • N/A

    Citations

    Citations of this article.

Abstract

We discuss data representation which can be learned automatically from data, are invariant to transformations, and at the same time selective, in the sense that two points have the same representation only if they are one the transformation of the other. The mathematical results here sharpen some of the key claims of i-theory -- a recent theory of feedforward processing in sensory cortex.

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

Authors

  • Fabio Anselmi

  • Lorenzo Rosasco

  • Tomaso Poggio

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free