Login / Signup

A Model for Learning Topographically Organized Parts-Based Representations of Objects in Visual Cortex: Topographic Nonnegative Matrix Factorization.

Kenji HosodaMasataka WatanabeHeiko WersingEdgar KörnerHiroshi TsujinoHiroshi TamuraIchiro Fujita
Published in: Neural Comput. (2009)
Keyphrases
  • nonnegative matrix factorization
  • learning algorithm
  • data sets
  • probabilistic model
  • visual cortex
  • neural network
  • high level
  • similarity measure
  • artificial neural networks
  • supervised learning
  • input data