Emotion Recognition in Gaming Dataset to Reduce Artifacts in the Self-Assessed Labeling Using Semi-Supervised Clustering.
Oscar Almanza-ConejoJuan Gabriel Aviña-CervantesArturo Garcia-PerezMario Alberto Ibarra-ManzanoPublished in: IEEE Access (2024)
Keyphrases
- emotion recognition
- semi supervised clustering
- semi supervised
- pairwise constraints
- unsupervised clustering
- audio visual
- semi supervised learning
- metric learning
- human computer interaction
- facial expressions
- background knowledge
- facial images
- information fusion
- semi supervised classification
- nonnegative matrix factorization
- data sets
- sentiment analysis
- document clustering
- labeled data
- feature set
- emotional state
- dimensionality reduction
- affective states
- multi class
- domain knowledge
- k means
- training data
- data mining