Investigating and improving the utility of probabilistic linear discriminant analysis for acoustic signal classification.
Yuechi JiangFrank H. F. LeungPublished in: Digit. Signal Process. (2021)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- dimensionality reduction
- face recognition
- dimension reduction
- discriminant features
- principal component analysis
- small sample size
- feature extraction
- support vector
- fisher criterion
- null space
- feature space
- subspace methods
- support vector machine svm
- high dimensional data
- multivariate statistical
- linear discriminant
- generative model
- discriminative information
- subspace analysis
- principal components analysis
- scatter matrix
- generalized discriminant analysis
- probabilistic model
- class separability
- high dimensional
- qr decomposition
- dealing with high dimensional data
- nearest neighbor
- scatter matrices
- pattern recognition
- feature vectors
- utility function
- topic models