Understanding the role of eye movement consistency in face recognition and autism through integrating deep neural networks and hidden markov models

HIGHLIGHTS

• who: Janet H. Hsiao from the Published in partnership with The University of Queensland have published the Article: Understanding the role of eye movement consistency in face recognition and autism through integrating deep neural networks and hidden Markov models, in the Journal: (JOURNAL)
• what: This model would still be interpretable since the transition probabilities can be examined given the input. Through joint learning between DNN and HMM to account for eye movement behaviour in face recognition, the authors show that learning to recognise faces initially involves developing a consistent visual routine. The EMHMM approach aims . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.