Min Y. Mun

Computer Vision and Pattern Recognition · 2009–2010

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Min Y. Mun trusts overall

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

  1. Lin Liao
  2. John Krumm
  3. Dieter Fox
  4. Sunny Consolvo
  5. Donald J. Patterson
  6. Yu Zheng
  7. Henry A. Kautz
  8. S. Crouter
  9. Mike Y. Chen
  10. Tommi S. Jaakkola

Who trusts Min Y. Mun overall

  1. Gerhard P. Hancke Jr.
  2. Bin Guo
  3. Slawomir Goryczka
  4. Salil S. Kanhere
  5. Bruno Silva
  6. Samuli Hemminki

Papers from Min Y. Mun's perspective

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

  1. A tutorial on hidden Markov models and selected applications in speech recognition
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Activity Recognition from User-Annotated Acceleration Data
  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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Location-Based Activity Recognition using Relational Markov Networks (International Joint Conference on Artificial Intelligence)
  9. Long Short-Term Memory
  10. Inferring High-Level Behavior from Low-Level Sensors (Ubiquitous Computing)

Their papers