Unsupervised low-rank representations for speech emotion recognition.
Georgios ParaskevopoulosEfthymios TzinisNikolaos EllinasTheodoros GiannakopoulosAlexandros PotamianosPublished in: CoRR (2021)
Keyphrases
- low rank
- speech emotion recognition
- semi supervised
- linear combination
- missing data
- convex optimization
- matrix factorization
- low rank matrix
- matrix completion
- rank minimization
- high order
- singular value decomposition
- kernel matrix
- matrix decomposition
- high dimensional data
- trace norm
- robust principal component analysis
- low rank representation
- unsupervised learning
- singular values
- data matrix
- minimization problems
- generative model
- supervised learning
- small number
- active learning
- pairwise
- pattern recognition
- neural network