Unsupervised Low-Rank Representations for Speech Emotion Recognition.
Georgios ParaskevopoulosEfthymios TzinisNikolaos EllinasTheodoros GiannakopoulosAlexandros PotamianosPublished in: INTERSPEECH (2019)
Keyphrases
- low rank
- speech emotion recognition
- semi supervised
- linear combination
- convex optimization
- missing data
- matrix factorization
- low rank matrix
- matrix completion
- rank minimization
- singular value decomposition
- matrix decomposition
- trace norm
- kernel matrix
- high dimensional data
- minimization problems
- supervised learning
- pairwise
- high order
- data matrix
- non rigid structure from motion
- low rank matrices
- unsupervised learning
- low rank representation
- feature extraction
- robust principal component analysis
- active learning