Improvements in connected digit recognition using linear discriminant analysis and mixture densities.
Reinhold Haeb-UmbachDieter GellerHermann NeyPublished in: ICASSP (2) (1993)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- principal component analysis
- dimensionality reduction
- face recognition
- discriminant features
- small sample size
- dimension reduction
- feature extraction
- mixture model
- null space
- support vector
- support vector machine svm
- fisher criterion
- feature space
- high dimensional data
- subspace methods
- class separability
- discriminative information
- linear discriminant
- expectation maximization
- probability density function
- qr decomposition
- scatter matrix
- generalized discriminant analysis
- gaussian mixture model
- gaussian distribution
- least squares
- probabilistic model
- pattern recognition
- similarity measure
- computer vision