Manifold Learning-Based Feature Transformation for Phone Classification.
Andrew ErrityJohn McKennaBarry KirkpatrickPublished in: NOLISP (2007)
Keyphrases
- manifold learning
- feature transformation
- feature extraction
- dimension reduction
- feature space
- dimensionality reduction
- low dimensional
- high dimensional
- feature vectors
- text classification
- machine learning
- semi supervised
- pattern recognition
- image classification
- discriminant analysis
- decision trees
- support vector
- training samples
- support vector machine svm
- subspace learning
- linear classifiers
- high dimensionality
- cross validation
- speaker identification
- linear discriminant analysis
- nearest neighbor
- svm classifier
- sparse representation
- high dimensional data
- support vector machine
- feature set