Philipp Zehnder

Artificial Intelligence · 2008

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Philipp Zehnder trusts overall

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

  1. Jerome H. Friedman
  2. Rainer Lienhart
  3. Alexander Kuranov
  4. Jim Mutch

Who trusts Philipp Zehnder overall

  1. Christoph H. Lampert

Papers from Philipp Zehnder's perspective

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

  1. Special Invited Paper-Additive logistic regression: A statistical view of boosting
  2. Sharing features: efficient boosting procedures for multiclass object detection (Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.)
  3. Pattern Classification
  4. Multiclass Object Recognition with Sparse, Localized Features
  5. Incremental learning of object detectors using a visual shape alphabet
  6. ImageNet classification with deep convolutional neural networks
  7. Pattern classification, 2nd Edition
  8. Empirical Analysis of Detection Cascades of Boosted Classifiers for Rapid Object Detection (DAGM-Symposium)
  9. Gradient-based learning applied to document recognition
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers