M. Omair Ahmad
IEEE Transactions on Neural Networks · 2003–2005
A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Whom M. Omair Ahmad trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts M. Omair Ahmad overall
Papers from M. Omair Ahmad's perspective
Ordered by how strongly the researchers M. Omair Ahmad trusts endorse each paper. Same corpus, a different order for every researcher.
- Fast Training of Support Vector Machines using Sequential Minimal Optimization
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Introduction to Support Vector Machines
- Learning the Kernel Matrix with Semidefinite Programming
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Optimizing the kernel in the empirical feature space (2005) — 341 citations
- A study of the residue-to-binary converters for the three-moduli sets (2003) — 114 citations