A hybrid PCA-LDA model for dimension reduction.
Nan ZhaoWashington MioXiuwen LiuPublished in: IJCNN (2011)
Keyphrases
- dimension reduction
- principal component analysis
- lda model
- latent dirichlet allocation
- principle component analysis
- dimensionality reduction
- feature extraction
- dimension reduction methods
- low dimensional
- linear discriminant analysis
- high dimensional
- topic models
- feature space
- random projections
- singular value decomposition
- feature selection
- manifold learning
- face recognition
- generative model
- principal components
- high dimensionality
- high dimensional data
- cluster analysis
- topic modeling
- support vector machine
- image processing
- unsupervised learning
- preprocessing