Min Wang

Computer Vision and Pattern Recognition · with Cao · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 6 citations into it

Whom Min Wang trusts overall

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

1. Matthew D. Zeiler

Papers from Min Wang's perspective

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

1. Visualizing and Understanding Convolutional Networks
2. Hadoop: The Definitive Guide
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Learning Multiple Layers of Features from Tiny Images
6. ImageNet Large Scale Visual Recognition Challenge
7. Gradient-based learning applied to document recognition
8. Histograms of oriented gradients for human detection
9. Long Short-Term Memory
10. Going deeper with convolutions

Their papers

• Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment (2019) — 25 citations