John A. Bender

Artificial Intelligence · 2009–2014

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom John A. Bender trusts overall

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

  1. Eric R. Ziegel

Who trusts John A. Bender overall

  1. Ben. G. Weinstein
  2. David J. Anderson

Papers from John A. Bender's perspective

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

  1. The Elements of Statistical Learning
  2. A Tutorial on the Cross-Entropy Method
  3. Background subtraction techniques: a review (IEEE International Conference on Systems, Man and Cybernetics)
  4. Introduction to algorithms
  5. Multi-Object Tracking Through Simultaneous Long Occlusions and Split-Merge Conditions (Computer Vision and Pattern Recognition)
  6. MCMC-based particle filtering for tracking a variable number of interacting targets (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  7. ImageNet: A large-scale hierarchical image database
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. ImageNet classification with deep convolutional neural networks
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers