Amit Kumar Mishra

International Conference Radioelektronika · 2015

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Amit Kumar Mishra trusts overall

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

1. Kwang In Kim
2. Keechul Jung
3. Hang-Joon Kim
4. Kilian Q. Weinberger

Papers from Amit Kumar Mishra's perspective

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

1. Learning a kernel matrix for nonlinear dimensionality reduction
2. Face recognition using kernel principal component analysis (IEEE Signal Processing Letters)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Going deeper with convolutions
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Application of linear and nonlinear PCA to SAR ATR (2015) — 47 citations