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The Ethereal
On Invariance and Selectivity in Representation Learning
March 19, 2015 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Fabio Anselmi, Lorenzo Rosasco, Tomaso Poggio
arXiv ID
1503.05938
Category
cs.LG: Machine Learning
Citations
107
Venue
arXiv.org
Last Checked
4 months ago
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.
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