Holger Wendland
Computational Mechanics · 2001–2006
A researcher in the Science corpus: 5 papers; trusts 20 researchers and is trusted by 44 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 25 citations into it; #2,075 of 10,001 by trust here, #3,908 by citations
- Mechanics of Materials — 23 citations into it; #1,578 of 6,291 by trust here, #2,341 by citations
- Mathematical Physics — 7 citations into it
- Computer Graphics and Computer-Aided Design — 6 citations into it
- Statistical Learning Theory — 6 citations into it
- Applied Mathematics — 5 citations into it
- Artificial Intelligence — 5 citations into it
Whom Holger Wendland trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Charles A. Micchelli
- Yiu Chung Benny Hon
- Satya N. Atluri
- Francis J. Narcowich
- Grace Wahba
- Bernhard Schölkopf
- John Shawe-Taylor
- Ivo Babuska
- Greg Turk
- Shaofan Li
Who trusts Holger Wendland overall
- Adam D. Bull
- Carl E. Rasmussen
- J. Fincham
- Bijan Boroomand
- Robert Schaback
- Junjian Fu
- Thomas C. S. Rendall
- Ingo Steinwart
- Christian B. Allen
- Christopher K. I. Williams
Papers from Holger Wendland's perspective
Ordered by how strongly the researchers Holger Wendland trusts endorse each paper. Same corpus, a different order for every researcher.
- Interpolation of scattered data: Distance matrices and conditionally positive definite functions
- Spline Models for Observational Data
- Learning with Kernels: support vector machines, regularization, optimization, and beyond
- Theory of Reproducing Kernels.
- ImageNet classification with deep convolutional neural networks
- On the mathematical foundations of learning
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Kernel Methods for Pattern Analysis
- Metric spaces and completely monotone functions
- ESTIMATING THE APPROXIMATION ERROR IN LEARNING THEORY
Their papers
- Scattered Data Approximation: Conditionally positive definite functions (2004) — 997 citations
- Sobolev Error Estimates and a Bernstein Inequality for Scattered Data Interpolation via Radial Basis Functions (2006) — 183 citations
- Kernel techniques: From machine learning to meshless methods (2006) — 347 citations
- Characterization and construction of radial basis functions (2001) — 147 citations
- Multivariate interpolation for fluid-structure-interaction problems using radial basis functions (2001) — 352 citations