GPCA: an efficient dimension reduction scheme for image compression and retrieval.
Jieping YeRavi JanardanQi LiPublished in: KDD (2004)
Keyphrases
- dimension reduction
- principal component analysis
- image compression
- feature extraction
- low dimensional
- linear discriminant analysis
- dimensionality reduction
- high dimensional problems
- manifold learning
- information retrieval
- random projections
- partial least squares
- unsupervised learning
- feature space
- singular value decomposition
- discriminative information
- high dimensional data
- dimension reduction methods
- wavelet transform
- preprocessing step
- high dimensionality
- discriminant analysis
- image retrieval
- face recognition
- image processing
- feature selection
- data sets
- preprocessing
- motion segmentation
- feature vectors
- image segmentation
- manifold embedding
- high dimensional data analysis
- sparse metric learning