Richard Schmidt

2007

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Richard Schmidt trusts overall

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

1. B. Taskar
2. E. Gertz
3. Andrea Frome

Who trusts Richard Schmidt overall

1. Daniel Munoz
2. Bo Li

Papers from Richard Schmidt's perspective

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

1. Recognizing Objects in Range Data Using Regional Point Descriptors
2. Learning structured prediction models: a large margin approach
3. Object-oriented software for quadratic programming (TOMS)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Shape Matching and Object Recognition Using Shape Contexts
6. Learning Multiple Layers of Features from Tiny Images
7. ImageNet classification with deep convolutional neural networks
8. Object recognition from local scale-invariant features
9. ImageNet: A large-scale hierarchical image database
10. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data

Their papers

• Instace-Based AMN Classification for Improved Object Recognition in 2D and 3D Laser Range Data (2007) — 67 citations