Emotion clustering based on probabilistic linear discriminant analysis.
Mahnoosh MehrabaniOzlem KalinliRuxin ChenPublished in: INTERSPEECH (2015)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- face recognition
- dimensionality reduction
- principal component analysis
- discriminant features
- dimension reduction
- feature extraction
- support vector
- high dimensional data
- principal components analysis
- null space
- feature space
- fisher criterion
- subspace methods
- support vector machine svm
- probabilistic model
- small sample size
- facial expressions
- multivariate statistical
- generative model
- linear discriminant
- dealing with high dimensional data
- scatter matrix
- qr decomposition
- class separability
- discriminative information
- high dimensionality
- computer vision
- locality preserving projections
- subspace analysis
- nearest neighbor
- data analysis
- neural network