David J. Jilk

Cognitive Neuroscience · 2013

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom David J. Jilk trusts overall

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

  1. Randall C. O’Reilly
  2. Zhaoping Li

Papers from David J. Jilk's perspective

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

  1. This PDF file includes: Materials and Methods
  2. Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories
  3. Learning methods for generic object recognition with invariance to pose and lighting
  4. Hierarchical models of object recognition in cortex
  5. Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
  6. What is the best multi-stage architecture for object recognition?
  7. Learning representations by back-propagating errors
  8. Receptive fields, binocular interaction and functional architecture in the cat's visual cortex
  9. A feedforward architecture accounts for rapid categorization
  10. Robust Object Recognition with Cortex-Like Mechanisms

Their papers