Wavelets on ultrametric spaces

By A. Khrennikov, Sergei V. Kozyrev. 2005

109 citations recorded by the source corpus.

Subfields: Applied Mathematics, Computer Vision and Pattern Recognition, Mathematical Physics

View Paper: https://www.semanticscholar.org/paper/76ece2f10604ab8413bc4456eb821c3ed302d2e6

How researchers see this paper

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

In Applied Mathematics

1. Branko Dragovich
2. Igor V. Volovich
3. Sergei V. Kozyrev
4. A. Khrennikov
5. Evgeny Zelenov
6. Surya Ganguli

In Computer Vision and Pattern Recognition

1. Branko Dragovich
2. Igor V. Volovich
3. Sergei V. Kozyrev
4. A. Khrennikov
5. James L. McClelland
6. Surya Ganguli
7. Andrew M. Saxe

In Mathematical Physics

1. Branko Dragovich
2. Igor V. Volovich
3. A. Khrennikov
4. Evgeny Zelenov
5. Sergei V. Kozyrev
6. Surya Ganguli
7. Jun Kigami
8. Q. Jahan

Citations in the corpus

• A mathematical theory of semantic development in deep neural networks (2018, background): “Tree graphs give rise to ultrametric covariance matrices, yielding object-analyzer vectors that are tree-structured wavelets that mirror the underlying hierarchy [49, 50].”
• p-Adic mathematical physics: the first 30 years (2017, methodology): “4.2 p-Adic Genetic Code and Bioinformation Another very important application of p-adic numbers is successful modeling of the genetic code, initiated by B. Dragovich and A. Dragovich [104], A. Khrennikov [158], and A. Khrennikov and S. Kozyrev [159].”