Effective visual perception is crucial in understanding intelligent behaviour - unless we understand how we perceive, we will never understand how we reason. This core module shows how machine learning techniques can be applied to various areas in computer vision. The following topics are covered: relevant probability and information theory; experimental set-up of machine learning for computer vision; hidden Markov modeling; clustering and classification for computer vision; Neural Networks.

Sorry, there are no lists here yet. You could try:

  • Clicking My Lists from the menu. Your course enrolled lists are stored here.
  • Searching for the list using the form below:

Lists linked to Computer Vision

There are currently no lists linked to this Module.