Chung K. Shin

Efficiency & Compression · 1999–2004

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Efficiency & Compression — 6 citations into it

Whom Chung K. Shin trusts overall

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

1. Charles M. Bishop
2. Manoranjan Dash
3. Yann LeCun
4. W. Street
5. Alan B. Tickle
6. Andreas S. Weigend
7. Huan Liu
8. John S. Denker
9. David E. Rumelhart
10. Russell Reed

Who trusts Chung K. Shin overall

1. Mark T. Keane
2. Saroj Kumar Biswas
3. Eoin M. Kenny
4. Kwang Hyuk Im
5. Tong Wang
6. Manomita Chakraborty
7. Hassan Rafique
8. Sang-Chan Park
9. Heisnam Rohen Singh
10. Debashree Devi

Papers from Chung K. Shin's perspective

Ordered by how strongly the researchers Chung K. Shin trusts endorse each paper. Same corpus, a different order for every researcher.

1. Optimal Brain Damage
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. UCI Repository of machine learning databases
6. Attention is All you Need (Neural Information Processing Systems)
7. Histograms of oriented gradients for human detection
8. Distinctive Image Features from Scale-Invariant Keypoints
9. Long Short-Term Memory
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• A hybrid approach of neural network and memory-based learning to data mining (2000) — 89 citations
• MBNR: Case-Based Reasoning with Local Feature Weighting by Neural Network (2004) — 41 citations
• Memory- and neural-network-based expert system (1999)