CBIR with a subspace tree: principal component analysis versus averaging.
Andreas WichertAndré Filipe da Silva VeríssimoPublished in: Multim. Syst. (2012)
Keyphrases
- principal component analysis
- principal components
- dimensionality reduction
- low dimensional
- lower dimensional
- tree structure
- face recognition
- feature extraction
- feature space
- image retrieval
- dimension reduction
- independent component analysis
- linear projection
- subspace learning
- linear discriminant analysis
- relevance feedback
- face images
- image database
- locality preserving projections
- discriminant analysis
- kernel pca
- covariance matrix
- singular value decomposition
- index structure
- high dimensional data
- spanning tree
- negative matrix factorization
- binary tree
- visual features
- subspace methods
- low level
- leaf nodes
- learning algorithm
- pattern recognition
- image indexing
- denoising
- random projections
- face databases
- image representation
- database