Zobrazeno 1 - 10
of 316
pro vyhledávání: '"R Coifman"'
Autor:
Shay A. Tenenbaum MD, Ran Thein, Erel Ben Ari MD, Niv Dreiangel, Jason T. Bariteau MD, Nathan Bruck MD, Oded R. Coifman MD
Publikováno v:
Foot & Ankle Orthopaedics, Vol 5 (2020)
Category: Bunion; Other Introduction/Purpose: Hallux valgus is one of the most common deformities of the adult foot, and can adversely affect quality of life, with common complaints including pain, footwear restrictions and cosmesis. Minimal Invasive
Externí odkaz:
https://doaj.org/article/47bf700a0d73474c94f3f5261d608c8e
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2017 Sep . 114(38), E7865-E7874.
Externí odkaz:
https://www.jstor.org/stable/26487982
Publikováno v:
Foundations of Computational Mathematics. 23:493-517
Let $\mathcal{G} = \{G_1 = (V, E_1), \dots, G_m = (V, E_m)\}$ be a collection of $m$ graphs defined on a common set of vertices $V$ but with different edge sets $E_1, \dots, E_m$. Informally, a function $f :V \rightarrow \mathbb{R}$ is smooth with re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc122245f95141dc87179ba51ac87137
https://doi.org/10.1007/s10208-022-09558-8
https://doi.org/10.1007/s10208-022-09558-8
Autor:
Ronald R. Coifman, Jacques Peyrière
Publikováno v:
Theoretical Physics, Wavelets, Analysis, Genomics ISBN: 9783030458461
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee08080abcaa5f4dbbab9478a2b1765d
https://doi.org/10.1007/978-3-030-45847-8_20
https://doi.org/10.1007/978-3-030-45847-8_20
Autor:
Nicholas S Downing, Alexander Cloninger, Arjun K Venkatesh, Angela Hsieh, Elizabeth E Drye, Ronald R Coifman, Harlan M Krumholz
Publikováno v:
PLoS ONE, Vol 12, Iss 6, p e0179603 (2017)
Public reporting of measures of hospital performance is an important component of quality improvement efforts in many countries. However, it can be challenging to provide an overall characterization of hospital performance because there are many meas
Externí odkaz:
https://doaj.org/article/c9c56a4421dc4ad9a340bf65ea836f52
Autor:
Ronald R. Coifman, Maxim J. Goldberg
Publikováno v:
The Journal of Geometric Analysis. 31:6781-6795
Discrete diffusion semigroups have proven to be highly effective tools for machine learning and data analysis due to the interplay between diffusion processes (of inferences), and their naturally associated geometries. Inspired by the harmonic analys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::657ea33a11b84ba51d81dacabc1fbc01
https://doi.org/10.1007/s12220-020-00428-9
https://doi.org/10.1007/s12220-020-00428-9
Autor:
Kevin R. Moon, Natalia Ivanova, Zheng Wang, David van Dijk, Scott Gigante, Antonia van den Elzen, William S. Chen, Smita Krishnaswamy, Guy Wolf, Ronald R. Coifman, Matthew J. Hirn, Daniel B. Burkhardt, Kristina Yim
Publikováno v:
Nat Biotechnol
The high-dimensional data created by high-throughput technologies require visualization tools that reveal data structure and patterns in an intuitive form. We present PHATE, a visualization method that captures both local and global nonlinear structu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73e3810b4f25ab1d3a3810a272ff4713
https://doi.org/10.1038/s41587-019-0336-3
https://doi.org/10.1038/s41587-019-0336-3
Autor:
Hadas Benisty, Daniel Barson, Andrew H. Moberly, Sweyta Lohani, Ronald R. Coifman, Gal Mishne, Michael C. Crair, Jessica A. Cardin, Michael J. Higley
Experimental work across a variety of species has demonstrated that spontaneously generated behaviors are robustly coupled to variation in neural activity within the cerebral cortex. Indeed, functional magnetic resonance imaging (fMRI) data suggest t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2dd12ebf765d7e4f3eec47d8ecec265b
https://doi.org/10.1101/2021.08.15.456390
https://doi.org/10.1101/2021.08.15.456390
Publikováno v:
Wavelets ISBN: 9781003210450
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10b8c0ae21e6553c2ea8f3f9882a4991
https://doi.org/10.1201/9781003210450-12
https://doi.org/10.1201/9781003210450-12
Publikováno v:
SIAM journal on mathematics of data science. 3(1)
A fundamental step in many data-analysis techniques is the construction of an affinity matrix describing similarities between data points. When the data points reside in Euclidean space, a widespread approach is to from an affinity matrix by the Gaus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::795251e88c6669b5266dbfb3df6a30a3
https://pubmed.ncbi.nlm.nih.gov/34124607
https://pubmed.ncbi.nlm.nih.gov/34124607