Keyphrases
- speaker clustering
- feature space
- feature transformation
- dimensionality reduction
- gaussian mixture model
- discriminant analysis
- partially supervised
- linear discriminant analysis
- feature extraction
- principal component analysis
- feature vectors
- high dimensionality
- high dimensional
- feature selection
- data points
- input space
- hyperplane
- linear classifiers
- support vector machine
- training samples
- low dimensional
- image retrieval
- classification accuracy
- speaker identification
- high dimensional data
- cosine distance
- training set
- high dimensional feature space
- kernel principal component analysis
- unsupervised learning
- pattern recognition
- kernel methods
- feature set
- scale invariant
- data reduction
- kernel function