• Deep Belief Network and Auto-Encoder for Face Classification 

      Bouchra, Nassih; Mohammed, Ngadi; Nabil, Hmina; Aouatif, Amine (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      The Deep Learning models have drawn ever-increasing research interest owing to their intrinsic capability of overcoming the drawback of traditional algorithm. Hence, we have adopted the representative Deep Learning methods ...
    • Evaluating the Emotional State of a User Using a Webcam 

      Magdin, Martin; Turcani, Milan; Hudec, Lukas (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2016)
      In online learning is more difficult for teachers identify to see how individual students behave. Student’s emotions like self-esteem, motivation, commitment, and others that are believed to be determinant in student’s ...
    • Face Detection for Augmented Reality Application Using Boosting-based Techniques 

      Hbali, Youssef; Ballihi, Lahoucine; Sadgal, Mohammed; Abdelaziz, El Fazziki (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2016)
      Augmented reality has gained an increasing research interest over the few last years. Customers requirements have become more intense and more demanding, the need of the different industries to re-adapt their products and ...
    • Fusing Facial Features for Face Recognition 

      Ahmad Dargham, Jamal; Chekima, Ali; Gubin Moung, Ervin (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2012)
      Face recognition is an important biometric method because of its potential applications in many fields, such as access control, surveillance, and human-computer interaction. In this paper, a face recognition system that ...