What Is the Limit of Redundancy Reduction with Divisive Normalization?

By Fabian H Sinz, Matthias Bethge. 2013

5 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Media Technology, Representation & Self-Supervised Learning, Neuroscience, Signal Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. Eero P. Simoncelli
2. Valero Laparra

In Media Technology

1. Valero Laparra
2. Johannes Ballé
3. Eero P. Simoncelli
4. A. Bovik
5. Zhou Wang
6. Kede Ma
7. Radu Timofte
8. Damon M. Chandler

In Representation & Self-Supervised Learning

1. Valero Laparra
2. Johannes Ballé
3. Eero P. Simoncelli
4. A. Bovik
5. Siwei Lyu
6. Zhou Wang
7. Richard Zhang
8. Yann LeCun

In Neuroscience

1. Valero Laparra
2. Johannes Ballé
3. Eero P. Simoncelli
4. Zhou Wang
5. Siwei Lyu
6. A. Bovik

In Signal Processing

1. Johannes Ballé
2. Valero Laparra
3. Eero P. Simoncelli
4. David C. Minnen
5. Saurabh Singh
6. Eirikur Agustsson
7. Michael Tschannen
8. Fabian Mentzer

Citations in the corpus

• Density Modeling of Images using a Generalized Normalization Transformation (2015, background): “But the Gaussianity of these representations has not been carefully optimized, and typical forms of normalization do not succeed in capturing all forms of dependency found in natural images (Lyu, 2010; Sinz & Bethge, 2013).”