Extensions of LDA by PCA mixture model and class-wise features.
Hyun-Chul KimDaijin KimSung Yang BangPublished in: Pattern Recognit. (2003)
Keyphrases
- mixture model
- generative model
- feature extraction
- principal component analysis
- gaussian mixture model
- em algorithm
- linear discriminant analysis
- linear discriminate analysis
- feature space
- probabilistic model
- face recognition
- dimensionality reduction
- feature set
- model selection
- gabor features
- principle component analysis
- discriminant analysis
- image features
- variational inference
- mixture modeling
- discriminant information
- pattern recognition
- language model
- mixture of gaussians
- gaussian mixture
- latent dirichlet allocation
- density estimation
- dimension reduction
- topic models
- feature vectors
- unsupervised learning
- expectation maximization
- principal components
- intra class
- covariance matrix
- low dimensional