Dimension reduction with meta object-groups for efficient image retrieval.
Shuo ShangJiajun LiuKun ZhaoMingrui YangKai ZhengJi-Rong WenPublished in: Neurocomputing (2015)
Keyphrases
- dimension reduction
- image retrieval
- principal component analysis
- high dimensional problems
- low dimensional
- feature extraction
- cluster analysis
- high dimensional
- random projections
- high dimensional data
- data mining and machine learning
- manifold learning
- variable selection
- linear discriminant analysis
- database
- discriminative information
- image representation
- high dimensionality
- manifold embedding
- singular value decomposition
- visual features
- dimensionality reduction
- nearest neighbor
- d objects
- pairwise
- feature space
- preprocessing
- real world