J. Jacques

Artificial Intelligence · 2013

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom J. Jacques trusts overall

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

  1. Gareth M. James
  2. Charles Bouveyron
  3. P. Deb
  4. Hirotugu Akaike
  5. Christophe Abraham
  6. Aurore Delaigle
  7. Catherine A. Sugar
  8. Jeng-Min Chiou
  9. Ulrike von Luxburg
  10. Robert T. Olszewski

Who trusts J. Jacques overall

  1. Clara Happ
  2. Michael Vogt
  3. Tomasz Górecki
  4. Jane-ling Wang
  5. Sonja Greven
  6. Cristian Preda
  7. Oliver B. Linton
  8. Jeng-Min Chiou
  9. Christian Acal
  10. Miroslaw Krzysko

Papers from J. Jacques's perspective

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

  1. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  2. Estimating the Dimension of a Model
  3. Clustering for Sparsely Sampled Functional Data
  4. Curves discrimination: a nonparametric functional approach (Computational Statistics & Data Analysis)
  5. Assessing a Mixture Model for Clustering with the Integrated Completed Likelihood (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  6. Defining probability density for a distribution of random functions
  7. ImageNet classification with deep convolutional neural networks
  8. Unsupervised Curve Clustering using B‐Splines
  9. Distinctive Image Features from Scale-Invariant Keypoints
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers