Erik G. Miller

2000

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 438 researchers here, as inferred from the citation graph.

Whom Erik G. Miller trusts overall

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

1. Vladimir Naumovich Vapnik
2. Shun-ichi Amari
3. Patrick Grother
4. Patrice Y. Simard
5. Dan Huttenlocher
6. Yann LeCun
7. Gregory A. Klanderman
8. John S. Denker

Who trusts Erik G. Miller overall

1. Bharath Hariharan
2. Ruslan Salakhutdinov
3. Ross B. Girshick
4. Gabriella Csurka
5. Brenden M. Lake
6. Josh Tenenbaum
7. Antonio Torralba
8. Roland Memisevic
9. Trevor Darrell
10. Manik Varma

Papers from Erik G. Miller's perspective

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

1. Natural Gradient Works Efficiently in Learning
2. Information Theory: 1948-1998 - Guest Editorial
3. Efficient Pattern Recognition Using a New Transformation Distance
4. Statistical learning theory
5. Gradient-based learning applied to document recognition
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. ImageNet classification with deep convolutional neural networks
9. Comparison of learning algorithms for handwritten digit recognition
10. Comparing Images Using the Hausdorff Distance

Their papers

• Learning from one example through shared densities on transforms (2000) — 479 citations