Kai Schneider

2001–2005

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Whom Kai Schneider trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Stéphane Mallat
2. Ingrid Daubechies
3. Charles S. Peskin
4. Marie Farge

Who trusts Kai Schneider overall

1. Bérengère Dubrulle
2. Frank Losasso

Papers from Kai Schneider's perspective

Ordered by how strongly the researchers Kai Schneider trusts endorse each paper. Same corpus, a different order for every researcher.

1. A wavelet tour of signal processing
2. Ten Lectures on Wavelets
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
5. Gradient-based learning applied to document recognition
6. Distinctive Image Features from Scale-Invariant Keypoints
7. The dual-tree complex wavelet transform
8. Histograms of oriented gradients for human detection
9. ImageNet classification with deep convolutional neural networks
10. This PDF file includes: Materials and Methods

Their papers

• Nonlinear wavelet thresholding: A recursive method to determine the optimal denoising threshold (2005) — 122 citations
• Numerical simulation of the transient flow behaviour in chemical reactors using a penalisation method (2005) — 99 citations
• A conservative fully adaptive multiresolution algorithm for parabolic PDEs (2003) — 164 citations
• Coherent Vortex Simulation (CVS), A Semi-Deterministic Turbulence Model Using Wavelets (2001) — 156 citations