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Semi-supervised facial expression recognition using reduced spatial features and Deep Belief Networks

  • Published:2019-11 Issue: Volume:367 Page:188-197
  • ISSN:0925-2312
  • Container-title:Neurocomputing
  • language:en
  • Short-container-title:Neurocomputing

Author:

Rajendra Kurup AswathyORCID,Ajith Meenu,Martínez Ramón Manel

Funder

University of New Mexico

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference58 articles.

1. Feature vector classification based speech emotion recognition for service robots;Park;IEEE Trans. Consum. Electr.,2009

2. Acoustical properties of speech as indicators of depression and suicidal risk;France;IEEE Trans. Biomed. Eng.,2000

3. Facial expression recognition via a boosted deep belief network;Liu,2014

4. Combined support vector machines and hidden markov models for modeling facial action temporal dynamics;Valstar,2007

5. A new invariant representation of facial expressions: definition and application to blended expression recognition;Soladi,2012

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