Q. M. Jonathan Wu

Computer Vision and Pattern Recognition · with Chow · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Q. M. Jonathan Wu trusts

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

  1. Thomas Hofmann (in Natural Language Processing)
  2. Tomas Mikolov (in Artificial Intelligence)
  3. Bill Triggs (in Computer Vision and Pattern Recognition)
  4. Franco Scarselli (in Artificial Intelligence)
  5. Marco Gori (in Artificial Intelligence)
  6. Quoc V. Le (in Artificial Intelligence)

Papers from Q. M. Jonathan Wu's perspective

Ordered by how strongly the researchers Q. M. Jonathan Wu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Efficient Estimation of Word Representations in Vector Space
  2. Latent Dirichlet Allocation
  3. The Graph Neural Network Model
  4. Indexing by Latent Semantic Analysis
  5. ImageNet classification with deep convolutional neural networks
  6. Distributed Representations of Sentences and Documents
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
  9. Probabilistic Latent Semantic Analysis
  10. Online Learning for Matrix Factorization and Sparse Coding

Their papers