SS-MFAR : Semi-supervised Multi-task Facial Affect Recognition.
Darshan GeraBadveeti Naveen Siva KumarBobbili Veerendra Raj KumarS. BalasubramanianPublished in: CoRR (2022)
Keyphrases
- multi task
- affect recognition
- semi supervised
- multitask learning
- affective computing
- multi task learning
- semi supervised learning
- learning tasks
- metric learning
- emotion recognition
- facial expressions
- labeled data
- learning problems
- transfer learning
- facial images
- emotional state
- multi class
- unlabeled data
- supervised learning
- human faces
- intelligent tutoring systems
- active learning
- face recognition
- multiple tasks
- pairwise
- gaussian processes
- face images
- developing intelligent
- feature selection
- affective states
- sparse learning
- unsupervised learning
- facial features
- interactive learning environments
- human computer interaction
- information gain
- feature vectors
- machine learning