Pauli Miettinen

IEEE Transactions on Knowledge and Data Engineering · 2006

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

Whom Pauli Miettinen trusts overall

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

  1. John Hartigan
  2. Daniel D. Lee
  3. P. Paatero
  4. Sara Cordeiro Madeira
  5. David M. Blei
  6. Jaideep Vaidya
  7. Arindam Banerjee
  8. Arlindo L. Oliveira
  9. Andrew Y. Ng
  10. Ken Lang

Papers from Pauli Miettinen's perspective

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

  1. Learning the parts of objects by non-negative matrix factorization
  2. Latent Dirichlet Allocation
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Algorithms for Non-negative Matrix Factorization
  7. Learning Multiple Layers of Features from Tiny Images
  8. Gradient-based learning applied to document recognition
  9. Biclustering algorithms for biological data analysis: a survey (IEEE/ACM Transactions on Computational Biology & Bioinformatics)
  10. NewsWeeder: Learning to Filter Netnews

Their papers