Nicolas Decoster

2000

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Nicolas Decoster trusts overall

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

1. Stéphane Mallat

Papers from Nicolas Decoster's perspective

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

1. A wavelet tour of signal processing
2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
3. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. GradientBased Learning Applied to Document Recognition
6. This PDF file includes: Materials and Methods
7. Histograms of oriented gradients for human detection
8. Distinctive Image Features from Scale-Invariant Keypoints
9. Backpropagation Applied to Handwritten Zip Code Recognition
10. Building high-level features using large scale unsupervised learning

Their papers

• A wavelet-based method for multifractal image analysis. I. Methodology and test applications on isotropic and anisotropic random rough surfaces (2000) — 199 citations