Speaker Recognition Using Sparse Probabilistic Linear Discriminant Analysis.
Hai YangYunfei XuQinwei ZhaoRuohua ZhouYonghong YanPublished in: IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (2013)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- dimensionality reduction
- face recognition
- principal component analysis
- dimension reduction
- discriminant features
- feature extraction
- small sample size
- feature space
- high dimensional data
- high dimensional
- fisher criterion
- class separability
- support vector
- null space
- support vector machine svm
- linear discriminant
- fisher discriminant analysis
- subspace methods
- scatter matrix
- random projections
- discriminative information
- generalized discriminant analysis
- sparse representation
- generative model
- multi class
- similarity measure
- theoretical guarantees
- high dimensionality
- scatter matrices
- probabilistic model
- pattern recognition