M. Ed Jernigan
Pattern Recognition · 2000
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 8 researchers here, as inferred from the citation graph.
Whom M. Ed Jernigan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts M. Ed Jernigan overall
Papers from M. Ed Jernigan's perspective
Ordered by how strongly the researchers M. Ed Jernigan trusts endorse each paper. Same corpus, a different order for every researcher.
- THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
- Algorithms for Clustering Data
- Syntactic pattern recognition and applications
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Bayesian learning for neural networks
- Distilling the Knowledge in a Neural Network (arXiv.org)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Histograms of oriented gradients for human detection
- Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
- Deep Learning Face Attributes in the Wild
Their papers
- Designing Gabor filters for optimal texture separability (2000) — 399 citations