Elaine Chew

Computer Vision and Pattern Recognition · 2000–2017

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Elaine Chew trusts overall

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

  1. John H. Holland
  2. Alex M. Andrew
  3. Sepp Hochreiter
  4. Jose D. Fernández

Who trusts Elaine Chew overall

  1. Carol Krumhansl
  2. Mark B. Sandler
  3. E. Gutiérrez

Papers from Elaine Chew's perspective

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

  1. Long Short-Term Memory
  2. Learning internal representations by error propagation
  3. Learning long-term dependencies with gradient descent is difficult
  4. Information processing in dynamical systems: foundations of harmony theory
  5. Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription
  6. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
  7. Optimization by Simulated Annealing
  8. Parallel Distributed Processing: Explorations in the Microstructures of Cognition
  9. Harmonising Chorales by Probabilistic Inference
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers