Matthew J. Cracknell

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 7 citations into it
• Artificial Intelligence — 6 citations into it; #24,477 of 35,345 by trust here, #30,347 by citations
• Statistical Learning Theory — 6 citations into it
• Statistics and Probability — 6 citations into it
• Media Technology — 5 citations into it; #2,334 of 3,621 by trust here, #3,091 by citations

Whom Matthew J. Cracknell trusts overall

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

1. Ludmila I. Kuncheva
2. Subhash C. Bagui
3. S. Kotsiantis
4. Stephen R. Marsland
5. Trevor J. Hastie
6. Farid Melgani
7. Giles M. Foody
8. Thomas M. Cover
9. Leo Breiman
10. Robert Tibshirani

Who trusts Matthew J. Cracknell overall

1. Hodjat Shirmard
2. Hanna Meyer
3. Ehsan Farahbakhsh
4. Emmanuel John Muico Carranza
5. R. Dietmar Müller

Papers from Matthew J. Cracknell's perspective

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

1. Bagging Predictors
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Random Forests
5. The Nature of Statistical Learning Theory
6. Gradient-based learning applied to document recognition
7. Going deeper with convolutions
8. Long Short-Term Memory
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Geological mapping using remote sensing data: A comparison of five machine learning algorithms, their response to variations in the spatial distribution of training data and the use of explicit spatial information (2014) — 603 citations