Peter Foster

Signal Processing · with Plumbley · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Peter Foster trusts overall

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

  1. Dan Stowell
  2. Daniel D. Lee
  3. Justin Salamon
  4. Adam Coates
  5. Jon Barker
  6. Bertrand S. Clarke
  7. Mark D. Plumbley
  8. Annamaria Mesaros
  9. Andrew Y. Ng
  10. Quentin Summerfield

Who trusts Peter Foster overall

  1. Eduardo Fonseca
  2. Annamaria Mesaros
  3. François G. Germain
  4. Toni Heittola
  5. Frederic Font
  6. Xavier Favory
  7. Manoj Plakal
  8. Qifeng Chen
  9. Tuomas Virtanen
  10. Xavier Serra

Papers from Peter Foster's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. An Analysis of Single-Layer Networks in Unsupervised Feature Learning
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Detection and Classification of Acoustic Scenes and Events
  6. The PASCAL CHiME speech separation and recognition challenge
  7. Gradient-based learning applied to document recognition
  8. Metrics for Polyphonic Sound Event Detection
  9. Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection
  10. A Dataset and Taxonomy for Urban Sound Research

Their papers