Daniel Cabrini Hauagge

Computer Vision and Pattern Recognition · 2010

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 11 citations into it

Whom Daniel Cabrini Hauagge trusts overall

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

1. Radford M. Neal
2. Alexander C. Berg

Papers from Daniel Cabrini Hauagge's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Normalized cuts and image segmentation
4. One-shot learning of object categories
5. Pattern Recognition and Machine Learning
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Automatic fruit and vegetable classification from images (2010) — 317 citations