Robert Krupinski

2015

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 Robert Krupinski trusts overall

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

1. Stéphane Mallat

Papers from Robert Krupinski's perspective

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

1. Bayesian inference in statistical analysis
2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
3. Histograms of oriented gradients for human detection
4. GradientBased Learning Applied to Document Recognition
5. Gradient-based learning applied to document recognition
6. Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories
7. This PDF file includes: Materials and Methods
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Striving for Simplicity: The All Convolutional Net
10. Building high-level features using large scale unsupervised learning

Their papers

• Approximated fast estimator for the shape parameter of generalized Gaussian distribution for a small sample size (2015) — 55 citations