Mehrdad Honarkhah

Computer Vision and Pattern Recognition · 2010

A researcher in the Science corpus: 1 paper; trusts 40 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it
• Artificial Intelligence — 15 citations into it
• Environmental Engineering — 10 citations into it; #1,026 of 5,479 by trust here, #4,524 by citations
• Statistics and Probability — 6 citations into it
• Ocean Engineering — 5 citations into it; #404 of 3,193 by trust here, #2,433 by citations

Whom Mehrdad Honarkhah trusts overall

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

1. Satomi Suzuki
2. Grace Wahba
3. Christoph H. Lampert
4. Julian Besag
5. Mark A. Girolami
6. Roger N. Shepard
7. S. Krishnan
8. Kristen Grauman
9. John Shawe-Taylor
10. Tatiana Chugunova

Who trusts Mehrdad Honarkhah overall

1. Pejman Tahmasebi
2. Muhammad Sahimi
3. Peter Bhlmann
4. Fabio Oriani
5. Hamidreza Hamdi
6. Ardeshir Hezarkhani
7. Julien Straubhaar
8. Petros Drineas
9. Ivo Couckuyt
10. Philippe Renard

Papers from Mehrdad Honarkhah's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Stochastic Simulation of Patterns Using Distance-Based Pattern Modeling (2010) — 323 citations