Linear dimensionality reduction using relevance weighted LDA.
E. Ke TangPonnuthurai N. SuganthanXin YaoA. Kai QinPublished in: Pattern Recognit. (2005)
Keyphrases
- linear dimensionality reduction
- dimensionality reduction
- discriminative subspace
- face recognition
- discriminant analysis
- linear discriminant analysis
- principal component analysis
- pattern classification
- low dimensional
- component analysis
- feature extraction
- latent dirichlet allocation
- euclidean distance
- information retrieval
- dimension reduction
- high dimensional data
- high dimensional
- topic models
- data points
- feature space
- unsupervised learning
- principal components
- subspace learning
- image classification
- distance measure
- pattern recognition
- co occurrence
- factor analysis
- lower dimensional
- nearest neighbor