Between-Class Covariance Correction For Linear Discriminant Analysis in Language Recognition.
Abhinav MisraQian ZhangFinnian KellyJohn H. L. HansenPublished in: Odyssey (2016)
Keyphrases
- linear discriminant analysis
- discriminant information
- feature extraction
- discriminant analysis
- scatter matrix
- face recognition
- fisher criterion
- null space
- linear discriminant
- class separability
- scatter matrices
- dimensionality reduction
- recognition rate
- small sample size
- supervised dimensionality reduction
- principal component analysis
- recognition accuracy
- support vector machine svm
- discriminant features
- dimension reduction
- class discrimination
- subspace methods
- kernel discriminant analysis
- feature space
- object recognition
- support vector
- locality preserving projections
- covariance matrix
- high dimensionality
- high dimensional data
- training set
- subspace analysis
- pattern recognition
- machine learning
- equivalence relationship
- novelty detection
- recognition algorithm
- data points
- high dimensional
- image processing