C. Diehl

Computer Vision and Pattern Recognition · with Baker · 2000–2006

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it; #14,931 of 21,575 by trust here, #18,266 by citations
• Artificial Intelligence — 6 citations into it; #24,242 of 35,345 by trust here, #28,481 by citations

Whom C. Diehl trusts overall

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

1. Yuhai Wu
2. Gert Cauwenberghs
3. Olivier Chapelle
4. Tomaso A. Poggio
5. C. Burges
6. Vladimir Naumovich Vapnik
7. Bernhard Schölkopf
8. Olivier Bousquet

Who trusts C. Diehl overall

1. Seunghoon Hong
2. Haoran Qiu
3. Huang Xiao
4. Bin Gu
5. Christoph H. Lampert
6. Tackgeun You
7. Subho Sankar Banerjee
8. Battista Biggio
9. Victor S. Sheng
10. Suha Kwak

Papers from C. Diehl's perspective

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

1. The Nature of Statistical Learning Theory
2. ImageNet classification with deep convolutional neural networks
3. Fast Training of Support Vector Machines using Sequential Minimal Optimization
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Statistical Learning Theory
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. UCI Repository of machine learning databases
9. Advances in kernel methods: support vector learning
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• SVM incremental learning, adaptation and optimization (2003) — 282 citations
• A support vector method for anomaly detection in hyperspectral imagery (2006) — 400 citations
• A statistical approach to 3d object detection applied to faces and cars (2000) — 294 citations